# easily Published articles for easily. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Usability 101: Introduction to Usability DevFeed: [Usability 101: Introduction to Usability]() Original publisher: [Read original article]() Author: Raluca Budiu Published: 2026-11-06T18:00:00Z Content type: article Language: en Sources: [NN/g latest articles and announcements]() Topics: [Usability](), [User interface design](), [User Experience](), [UI/UX Design](), [human centric design](), [human computer interaction](), [Users](), [Artificial Intelligence](), [AI Agent]() Tags: [2020](), [accessibility](), [account](), [agent](), [agents](), [ai](), [ai-agent](), [ai-products](), [article](), [basic-hci](), [can](), [complete](), [definition-of-usability](), [design](), [easily](), [experience-design](), [introduction](), [introduction-to-usability](), [introduction-to-user-testing](), [people](), [quality-assurance](), [quality-attributes](), [tasks](), [usability](), [usability-101](), [usability-engineering](), [user-experience](), [users](), [utility](), [with]() ### AI overview Usability measures how easily people complete tasks with an interface, across learnability, efficiency, memorability, errors, and satisfaction. It depends on the user, task, and context; a useful product needs both usability and the features people need. The article recommends iterative testing with representative users performing realistic tasks, starting with prototypes and observing behavior. Five users can often reveal major qualitative issues, while quantitative studies commonly use about 40 participants for reasonably precise estimates. Remote moderated or unmoderated testing suits many studies; in-person sessions help when physical context or gestures matter. AI may help prepare studies and analyze data, but synthetic users and digital twins are not reliable substitutes for real participants. Generative AI's variable outputs and interfaces, along with delegation and user control of agents, create new evaluation challenges. ### Source excerpt Usability refers to how easily people can complete tasks with a design. Improve it by watching representative users do realistic tasks, early and repeatedly. ## How to make a KPI dashboard in Excel in 3 steps (with free templates) DevFeed: [How to make a KPI dashboard in Excel in 3 steps (with free templates)]() Original publisher: [Read original article]() Author: Allisa Boulette Published: 2026-11-06T05:00:00Z Content type: tutorial Language: en Sources: [Zapier]() Topics: [Data analysis](), [Tool](), [Data pipelines](), [decision-making](), [Finance](), [agentic workflows]() Tags: [3](), [alerts](), [business](), [but](), [car](), [dashboard](), [data](), [decision-making](), [displays](), [driver](), [easily](), [engine](), [excel](), [free](), [free-templates](), [grow-your-business](), [how-to](), [kpi](), [make](), [templates](), [with]() ### AI overview An Excel KPI dashboard turns selected business metrics into charts and tables for tracking performance. The article's three-step process is to choose KPIs and prepare clean data, select visualizations suited to the comparisons or trends, then arrange and label charts for readability. It recommends Power Query for regularly refreshed imports and notes that spreadsheets can become messy as a business grows. PivotTables offer flexible grouping and summaries without changing source data. Microsoft Copilot can draft formulas and visuals from spreadsheet data, but cannot chart information that has not been brought into Excel; the article describes Zapier as a way to connect external apps and automate updates, with controls and an activity log. Templates are presented for marketing, sales, customer service, retail, and finance, with the caveat that they still require accurate data and may not scale for larger businesses. ### Source excerpt A car's dashboard displays vital information in an easily understandable format, assists in decision-making, and alerts the driver to potential issues. (Although the check engine light, with the specificity of a horoscope, treats a loose gas cap and a full-system meltdown with the same level of urgency.) Like a car's dashboard, an Excel KPI dashboard shows you the vital signs of your business, but without the cryptic hints and not-so-subtle threats--just cold, hard data served up in a way that's ## Configuration management at Giant Swarm: dynamic konfiguration " Giant Swarm DevFeed: [Configuration management at Giant Swarm: dynamic konfiguration " Giant Swarm]() Original publisher: [Read original article]() Author: Laszlo@giantswarm.io (Laszlo Uveges) Published: 2026-11-05T16:46:49Z Content type: article Language: en Sources: [Giant Swarm]() Topics: [configuration-management](), [configuration](), [GitOps](), [Secrets Management]() Tags: [app](), [application](), [applications](), [apps](), [cli](), [cluster](), [clusters](), [config](), [configs](), [configuration](), [configuration-management](), [consistency](), [controller](), [custom](), [easily](), [encrypted](), [engine](), [exercise](), [fail](), [feature](), [gitops](), [open-source](), [platform-engineering]() ### AI overview Giant Swarm migrated thousands of application configurations by introducing Konfigure, a schema driven renderer that can represent the old setup and add optional stage specific layers. A schema defines variables, ordered layers, and reusable template includes. Layers combine YAML value files, Go templates, and JSON6902 patches; paths can be optional for overrides or required for defaults. The CLI renders separate unencrypted and encrypted YAML documents, optionally without Kubernetes ConfigMap and Secret wrappers, enabling local reproduction. Konfigure separates configuration generation from its use in Kubernetes. A controller called konfigure-operator continuously renders and enforces desired configuration from custom resources. The team also removed admission checks requiring referenced ConfigMaps and Secrets to exist when an App CR is applied, relying instead on reconciliation and alerts for failures, as Flux HelmReleases do. The excerpt notes that Konfigure's encrypted and unencrypted paths remain more Kubernetes specific than necessary. ### Source excerpt We flipped thousands of application configurations across many management clusters over to a new system with zero issues. This is the second of three posts on configuration management at Giant Swarm, and it's about how we pulled that off. ## SurgTransfer: Multi-Step Latent Action Modeling for Action Transfer in Surgical World Model DevFeed: [SurgTransfer: Multi-Step Latent Action Modeling for Action Transfer in Surgical World Model]() Original publisher: [Read original article]() Author: Saurabh Koju, Love Panta, Deepak Thapa, Rudra P. K. Poudel, Prajwal Ghimire, Angus Watson, Yash Raj Shrestha, Prashnna Kumar Gyawali, Binod Bhattarai Published: 2026-11-05T05:00:00Z Content type: article Language: en Sources: [arXiv: Artificial Intelligence]() Topics: [World models](), [Computer vision]() Tags: [2022](), [2023](), [abstract](), [accelerate](), [actions](), [annotations](), [approach](), [arxiv](), [capture](), [code](), [context](), [cs-ai](), [cs-cv](), [cs-lg](), [datasets](), [details](), [domain](), [easily](), [evaluation](), [model](), [modeling](), [world](), [world-model]() ### AI overview SurgTransfer proposes multi-step latent action learning to transfer surgical maneuvers across contexts without relying on ground-truth kinematics or task-specific expert annotations. The authors argue that learning actions from unlabeled video alone, as explored in other domains, misses the hierarchical, goal-directed structure of surgery. Their framework aims to learn context-invariant actions and is evaluated on SurgToolLoc-2022 and PitVis-2023 using quantitative metrics and qualitative assessment by surgical experts. The supplied abstract does not report specific results. ### Source excerpt arXiv:2611.05443v1 Announce Type: cross Abstract: Surgical world models have the potential to provide intra-operative guidance, accelerate risk-free training and facilitate transfer of expert surgical maneuvers. However, the use of world models for transferring surgical expertise has been largely unexplored. Moreover, recent approaches in this domain have mainly relied on ground truth kinematics actions or expert annotations for specific tasks, limiting their applicability beyond the narrow range of tasks with ground-truth annotations. In contrast, existing works in the natural domain have shown promising results in learning latent actions solely from unlabeled videos and transferring the learned actions across contexts. We observe that this paradigm is short-sighted for the surgical domain, failing to capture the hierarchical and goal-directed structure of surgical procedures. Thus, we propose a novel multi-step action learning framework to learn context-invariant latent actions that are easily transferable across various surgical contexts. We perform extensive experiments on the publicly available datasets, SurgToolLoc-2022 and PitVis-2023, verifying our approach with both quantitative metrics and qualitative evaluation by surgical experts. We have published our code and the implementation details at https://github.com/bhattarailab/Surgical-Vision-World-Model. ## How To Easily Install Ubuntu Desktop 26.10 on Raspberry Pi DevFeed: [How To Easily Install Ubuntu Desktop 26.10 on Raspberry Pi]() Original publisher: [Read original article]() Author: Patrick Fromaget Published: 2026-11-05T02:13:57Z Content type: tutorial Language: en Sources: [RaspberryTips]() Topics: [Ubuntu](), [Raspberry Pi](), [Tutorial]() Tags: [alternatives](), [but](), [computer](), [desktop](), [easily](), [experience](), [great](), [how-to](), [how-to-tutorials](), [i](), [install](), [it-s](), [know](), [like](), [more](), [my](), [pi](), [raspberry](), [raspberry-pi](), [ubuntu](), [ubuntu-desktop]() ### AI overview The tutorial describes installing Ubuntu Desktop on a Raspberry Pi with Raspberry Pi Imager, then completing the first boot wizard. It recommends a Raspberry Pi 5, 500, 4, or 400 with at least 4GB RAM, a 16GB minimum SD card (32GB recommended), adequate power, and a keyboard and mouse; it suggests Ubuntu Server or Core for less capable models. After flashing the image from "Other general-purpose OS," users set language, keyboard, network, account, and timezone. Ubuntu provides a desktop dock, settings, basic apps, and an app store; Firefox may feel slow, and some applications may not support Pi hardware. Apps can also be installed with APT. The text identifies the system as Ubuntu Desktop 26.04, despite the title specifying 26.10. ### Source excerpt I use Raspberry Pi OS for most of my tutorials because it's simple and reliable. But when I want my Raspberry Pi to feel more like a regular desktop computer, Ubuntu Desktop is one of my favorite alternatives. If you know Ubuntu on a PC, this is a great way to get the same experience... ## Security questions are dead: What NIST 800-63B-4 allows instead DevFeed: [Security questions are dead: What NIST 800-63B-4 allows instead]() Original publisher: [Read original article]() Author: WorkOS Published: 2026-11-03T14:11:46Z Content type: article Language: en Sources: [WorkOS]() Topics: [password reset](), [Security](), [federal information processing standards](), [MFA]() Tags: [account-recovery](), [account-takeover](), [application](), [apply](), [authentication](), [based](), [best-practices](), [bits](), [breach](), [code](), [code-review](), [easily](), [email](), [how-to](), [migrate](), [nist](), [product](), [questions](), [recovery](), [security]() ### AI overview NIST SP 800-63B-4 does not recognize security questions as account recovery; it recognizes saved recovery codes, issued codes sent to registered addresses, codes relayed through nominated recovery contacts, and repeated identity proofing for accounts proofed at IAL1 or above. Providers must support at least one method, and an application-specific alternative requires a documented risk analysis. Requirements depend on assurance level: accounts able to authenticate at AAL2 need specified combinations of recovery methods. Implementation details include confirming recovery addresses before use, expiring and rate-limiting codes, supporting multiple recovery and notification addresses, and notifying users after recovery. The excerpt recommends stopping collection of answers, adding other authenticators, verifying existing addresses, deleting stored answers, and adding notifications and throttling. ### Source excerpt NIST no longer accepts security questions for account recovery. The four methods SP 800-63B-4 recognizes, and how to migrate your product onto them. ## What is AI transformation in 2027? How to build a strategy for your business DevFeed: [What is AI transformation in 2027? How to build a strategy for your business]() Original publisher: [Read original article]() Author: Nicole Replogle Published: 2026-10-30T05:00:00Z Content type: article Language: en Sources: [Zapier]() Topics: [Artificial Intelligence](), [workflow automation](), [AI Trends](), [Tool](), [AI Chat](), [business logic]() Tags: [about](), [ai](), [ai-strategy](), [ai-transformation](), [all](), [automation](), [bot](), [build](), [business](), [but](), [can](), [ceo](), [deal](), [don-t](), [easily](), [faster](), [grow-your-business](), [how-to](), [strategy](), [transformation](), [what-is]() ### AI overview AI transformation means embedding AI in core workflows to create business value, beyond using tools to do existing tasks faster. The article's framework has four pillars--leadership, culture, tools and governance--and recommends starting with existing experiments, setting business-aligned goals, providing infrastructure and guidance, adding human review and data safeguards, and tracking adoption, productivity and business outcomes. Examples show different implementations: Popl automates lead routing and qualification; Mercari uses mapped support workflows, redacted customer data and human fallback for uncertain cases; Zapier's HR system flags employee attrition risks; and Blue Castle combines Claude with Zapier to source and review candidates. These cases illustrate that workflows and safeguards vary by use, while automation can leave people focused on work requiring human interaction. ### Source excerpt It can feel impossible to escape the pressure to "do something" with AI. Maybe your CEO just asked about your AI strategy in an all-hands, or your competitors are shipping faster thanks to automation. Or maybe you're just tired of watching your team lose hours every week to tasks a bot could easily handle. You know AI is a big deal--but figuring out where to start is where most teams get stuck. You don't need another one-off pilot project that fizzles out after a few weeks, or a massive consultin ## Epsilon-Identifiability of Causal Quantities DevFeed: [Epsilon-Identifiability of Causal Quantities]() Original publisher: [Read original article]() Author: Ang Li, Scott Mueller, Xin Shu, Judea Pearl Published: 2026-10-28T04:00:00Z Content type: article Language: en Sources: [arXiv: Artificial Intelligence]() Topics: [causality]() Tags: [abstract](), [arxiv](), [behavior](), [cases](), [cs-ai](), [data](), [easily](), [effects](), [field](), [math-st](), [paper](), [possible](), [selection](), [show](), [sources](), [stat-th](), [this]() ### AI overview The paper introduces epsilon-identifiability: approximate identification of probabilities of causation when they are not fully identifiable from available data. It shows that sufficiently narrow bounds on the behavior of certain subpopulations can support epsilon-identification of otherwise unidentifiable causal effects and counterfactual probabilities, and applies the approach to the unit selection problem. The supplied text does not specify the bounds or technical procedure. ### Source excerpt arXiv:2301.12022v2 Announce Type: replace Abstract: Identifying the effects of causes and causes of effects is vital in virtually every scientific field. Often, however, the needed probabilities may not be fully identifiable from the available data sources. This paper shows how approximate identifiability is still possible for several probabilities of causation. We term this epsilon-identifiability and demonstrate its usefulness in cases where the behavior of certain subpopulations can be restricted within sufficiently narrow bounds. In particular, we show how unidentifiable causal effects and counterfactual probabilities can be epsilon-identified when such allowances are made. Often, these allowances are easily measured and reasonably assumed. Finally, epsilon-identifiability is applied to the unit selection problem. ## Diffusion Language Models for Perplexity-Aware Black-Box Attacks DevFeed: [Diffusion Language Models for Perplexity-Aware Black-Box Attacks]() Original publisher: [Read original article]() Author: Ali Al-Lawati, Elsayed Eshra, Dongwon Lee, Suhang Wang Published: 2026-10-23T04:00:00Z Content type: article Language: en Sources: [arXiv: Machine Learning]() Topics: [LLM security](), [Large Language Model](), [Language models](), [Generative AI](), [Artificial Intelligence]() Tags: [3](), [abstract](), [also](), [approach](), [arxiv](), [attacks](), [based](), [behaviors](), [black](), [box](), [can](), [continuous](), [cs-cl](), [cs-lg](), [decoding](), [diffusion](), [distribution](), [easily](), [language](), [language-models](), [models](), [perplexity](), [stat-ml]() ### AI overview The study replaces the random text mapping in continuous-space black-box attacks with a continuous diffusion language model (dLLM), retaining the standard-Gaussian latent space and existing sampling or optimization procedures. In sampling-based RareTrap, character-level perplexity falls from 10³-10⁷ to 3-5; in optimization-based ThinkTrap, it falls from 20-28 to 4.3-5.4. The authors also report that risk estimates can differ by an order of magnitude between mappings. The abstract frames the learned language mapping as producing more natural prompts, addressing concerns that random-mapping prompts may be unnatural and detectable by input guardrails. ### Source excerpt arXiv:2610.31558v1 Announce Type: new Abstract: \emph{Continuous-space} attacks find prompts that trigger malicious behaviors, such as overthinking, in black-box LLMs by sampling or optimizing over a low-dimensional Gaussian latent space and decoding it to text through a \emph{random mapping} and nearest-token lookup. Because the random mapping is not learned from language, its prompts can be highly unnatural, and as such easily detectable through input guardrails, and the risk estimates they yield are not grounded in natural prompts. In this paper, we demonstrate that the same continuous latent-space framework can be coupled directly to a learned generative distribution over language, a continuous diffusion language model (dLLM), which removes the artificial random mapping while preserving the standard-Gaussian latent formulation and the downstream sampling or optimization procedure. We evaluate this approach under two settings: sampling-based estimation using \emph{RareTrap} and optimization-based search using \emph{ThinkTrap}. We find that character-level perplexity drops from $10^3$--$10^7$ to 3--5 in RareTrap and from 20--28 to 4.3--5.4 in ThinkTrap. We also find that model risk estimates can differ by an order of magnitude across the two mappings. ## Sunsetting Marketing Messages on the Cloud API: Upgrade to the Marketing Messages API for WhatsApp before October 2027 DevFeed: [Sunsetting Marketing Messages on the Cloud API: Upgrade to the Marketing Messages API for WhatsApp before October 2027]() Original publisher: [Read original article]() Published: 2026-10-21T17:00:10Z Content type: release Language: en Sources: [Facebook Developers]() Topics: [upgrade]() Tags: [api](), [automatic](), [better](), [boost](), [business](), [classification](), [cloud](), [creative](), [customer](), [customer-experience](), [delivery](), [developer-documentation](), [easily](), [easy](), [engagement](), [marketing](), [messages](), [october](), [upgrade](), [whatsapp]() ### AI overview Marketing messages sent through the WhatsApp Cloud API will sunset on October 13, 2027. Businesses must upgrade to the Marketing Messages API for WhatsApp to keep sending them; the excerpt says most integrations take about two weeks on average. The new API supports existing phone numbers and marketing templates and offers automatic creative optimizations, performance features, time-to-live, and richer media formats. Some optimization features have geographic restrictions. Getting started requires accepting the API terms, confirming the integration is live on its endpoint, and routing utility messages reclassified as marketing to that API. The excerpt points to developer documentation for detailed upgrade steps. ### Source excerpt Marketing messages on WhatsApp sent through the Cloud API will sunset on October 13, 2027. To continue sending marketing messages, businesses need to upgrade to the Marketing Messages API for WhatsApp. ## Block pull requests with exposed secrets from merging DevFeed: [Block pull requests with exposed secrets from merging]() Original publisher: [Read original article]() Author: Allison Published: 2026-09-09T17:14:02Z Content type: release Language: en Sources: [GitHub Changelog]() Topics: [Secret Scanning](), [branch protection rules]() Tags: [2](), [3](), [about](), [advanced](), [advanced-security](), [alert](), [alerts](), [also](), [api](), [block](), [blocks](), [can](), [easily](), [pull-request](), [pull-requests](), [repositories](), [repository](), [request](), [secrets](), [with]() ### AI overview GitHub repository rulesets can block a pull request from merging until secret scanning completes on its head commit and alerts for secrets introduced by its commits are resolved. The rule, "require secret scanning alerts are resolved," applies by default to provider-pattern secrets in open pull requests; administrators can also configure custom or generic patterns. Developers without bypass permission must resolve each alert. Available in public preview to customers with GitHub Secret Protection or GitHub Advanced Security, it adds a pull request check alongside push protection, including for secret types push protection is disabled or not configured to catch. Configure it in Repository > Rulesets or through the REST API (`require_secret_scanning_alert_resolution`, with `secret_types`) or GraphQL (`REQUIRE_SECRET_SCANNING_ALERT_RESOLUTION`). ### Source excerpt Repository rulesets allow you to easily add scalable protections across your repositories. Starting today, you can use repository rulesets to block pull requests from merging when the pull request introduces... ## Reconciling JSON in DuckDB, One Patch at a Time DevFeed: [Reconciling JSON in DuckDB, One Patch at a Time]() Original publisher: [Read original article]() Author: {"picture" =\> "/images/blog/authors/mustafa\_khan\_atlan.jpg"} Published: 2026-08-18T00:00:00Z Content type: article Language: en Sources: [DuckDB]() Topics: [DuckDB](), [JSON](), [Database]() Tags: [2](), [3](), [about](), [absolute](), [accessors](), [added](), [agents](), [ai](), [ai-agents](), [all](), [also](), [apply](), [duckdb](), [easily](), [extension](), [functions](), [json](), [patch](), [patches](), [time](), [v2]() ### AI overview The excerpt describes four JSON functions planned for DuckDB v2.0: `json_merge_patch_diff` creates a minimal RFC 7396 patch that can reconstruct a modified document; `json_deep_merge` merges patches while treating JSON `null` as "keep the original," unlike `json_merge_patch`, where it deletes the key; `json_normalize` sorts object keys recursively while preserving array order; and `json_strip_nulls` removes null-valued object keys recursively while leaving array elements intact. Together, they support a SQL workflow that strips null placeholders from incoming events, deep-merges updates into prior state, diffs the result for downstream delivery, and hashes normalized JSON for deduplication. The excerpt says the functions can be tried in a v2.0-dev preview and reports roughly 1-2 orders of magnitude speedup over equivalent single-threaded Python on its 500,000-event benchmark; DuckDB's multi-threaded execution makes that comparison hardware- and setup-specific. ### Source excerpt DuckDB v2.0 will ship JSON functions that allow you to easily apply JSON patches. ## Cisco Can Finally Sell Lots Of Supercomputers And Their Networks DevFeed: [Cisco Can Finally Sell Lots Of Supercomputers And Their Networks]() Original publisher: [Read original article]() Author: Timothy Prickett Morgan Published: 2026-08-17T21:02:39Z Content type: opinion Language: en Sources: [The Next Platform: In-depth coverage of high end computing]() Topics: [Cisco](), [Inference](), [Hardware](), [Supercomputing](), [Network](), [cloud-infrastructure](), [systems](), [Cloud](), [Mainframe]() Tags: [2026](), [ai](), [ai-inference](), [cisco](), [cloud](), [cloud-builder](), [computing](), [connect](), [easily](), [hardware](), [hyperscaler](), [networks](), [silicon-one](), [supercomputing](), [ucs]() ### AI overview An opinion article examines Cisco's opportunity to sell more supercomputing systems and networking infrastructure as enterprise demand for generative AI, inference, and agentic AI grows. It compares cloud and on-premises deployment models and discusses the resulting hardware, systems software, and economic implications. ### Source excerpt There are those that believe most or all applications - including AI inference models, which are a k ... ## We're launching Lyria 3.5 in Google Flow Music, with advances across musicality, lyrics, vocals, and creative control DevFeed: [We're launching Lyria 3.5 in Google Flow Music, with advances across musicality, lyrics, vocals, and creative control]() Original publisher: [Read original article]() Author: Michael Chang Published: 2026-07-29T16:02:10Z Content type: release Language: en Sources: [Google DeepMind News]() Topics: [Google](), [creative coding]() Tags: [awareness](), [complex](), [control](), [creative](), [easily](), [emotion](), [expression](), [flow](), [generation](), [google](), [model](), [music](), [none](), [quality]() ### AI overview Google says Lyria 3.5 is rolling out in Flow Music, with more natural, complex melodies; higher-quality lyrics with better prompt adherence and structural awareness; more realistic, emotionally nuanced vocals with improved pronunciation; and greater control over output tempo and duration. ### Source excerpt Our newest music generation model, Lyria 3.5, delivers significant advancements across musicality, lyrics, and vocal quality, empowering you to craft richer tracks. We'r... ## 6 Industrial IoT Applications in 2026 Including Real Examples DevFeed: [6 Industrial IoT Applications in 2026 Including Real Examples]() Original publisher: [Read original article]() Author: Portainer Published: 2026-03-25T00:00:00Z Content type: article Language: en Sources: [Portainer]() Topics: [Internet of things](), [Portainer](), [IoT predictive analytics](), [AI Integration Strategies]() Tags: [000](), [1-4](), [2](), [2026](), [applications](), [blog](), [deploy](), [easily](), [edge](), [examples](), [features](), [groups](), [industrial](), [industrial-iot](), [iot](), [monitor](), [operations](), [portainer](), [rollback](), [update](), [with]() ### AI overview Industrial IoT uses connected sensors, edge devices, and software to monitor equipment and act on real-time data. The article covers predictive maintenance, grid and energy management, pipeline monitoring, cold-chain logistics, precision agriculture, and renewable-energy assets, with examples including Siemens Insights Hub, Duke Energy's self-healing grid, and DHL shipment tracking. It describes edge computing as a way to process data locally, reduce latency and bandwidth use, and keep critical systems operating during connectivity drops; Docker containers package workloads consistently across devices. For fleet operations, it recommends maintaining an inventory, grouping devices, and testing updates on a small subset before staged rollout, monitoring, and rollback. Portainer's Edge Groups, Edge Stacks, and Update & Rollback are presented as tools for organizing devices, deploying workloads, and recovering remotely. The article also reports customer cases and claimed savings or productivity gains, while offering no independent validation of those results. ### Source excerpt Deploy, monitor, and update Industrial IoT applications easily with Portainer. Edge Groups and rollback features ensure safe and efficient edge operations. ## .NET on Heroku: Now Generally Available DevFeed: [.NET on Heroku: Now Generally Available]() Original publisher: [Read original article]() Author: Rune Soerensen Published: 2025-04-02T06:56:00Z Content type: release Language: en Sources: [Heroku]() Topics: [.NET](), [Heroku](), [ASP.NET Core](), [C#](), [Visual Basic]() Tags: [announce](), [asp-net](), [asp-net-core](), [beta](), [build](), [buildpacks](), [builds](), [c-sharp](), [console](), [deployments](), [developers](), [documentation](), [easily](), [f-sharp](), [general-availability](), [heroku](), [languages](), [latest](), [native](), [net](), [net-sdk](), [news](), [this]() ### AI overview .NET support on Heroku has moved from beta to general availability and is described as production-ready and covered by Heroku's support policy. Heroku supports C#, F#, and Visual Basic, automatically detects, builds, and deploys .NET applications, and installs SDKs and runtimes based on the project; developers can override defaults. ASP.NET Core apps are configured to listen on the appropriate port, while Console and Worker Service project types are detected during builds. The excerpt also promises access to new stable .NET releases on release day and provides developer documentation and deployment support. It ends mid-description, so it does not establish the full set of SDK selection or configuration details. ### Source excerpt It's never been a more exciting time to be a .NET developer. With .NET (formerly known as .NET Core) approaching its 10-year anniversary this November, the platform has evolved into a powerful, cross-platform ecosystem, embracing modern development practices and powering a vast array of applications. Today, we're thrilled to announce that .NET support on Heroku, [...] The post .NET on Heroku: Now Generally Available appeared first on Heroku. ## Heroku AppLink Pilot: The Shortest Path to Bring Your Code to Agentforce DevFeed: [Heroku AppLink Pilot: The Shortest Path to Bring Your Code to Agentforce]() Original publisher: [Read original article]() Author: Zilin Zhou Published: 2025-03-04T15:02:00Z Content type: release Language: en Sources: [Heroku]() Topics: [Heroku](), [software-development](), [Tool]() Tags: [actions](), [agent](), [agentforce](), [app](), [applications](), [applink](), [build](), [capabilities](), [code](), [complex](), [custom](), [data-analytics](), [deploy](), [developers](), [easily](), [flexibility](), [heroku](), [integrations](), [languages](), [like](), [news](), [pilot](), [product-features](), [salesforce](), [shortest-path]() ### AI overview Heroku AppLink, available in pilot, is designed to simplify connecting Heroku applications with Agentforce, Data Cloud, and Salesforce Clouds. The excerpt says teams can use a single command to reduce manual setup, create managed connections that meet Salesforce security standards, define environments and connections more granularly, and manage integration credentials and connections through a centralized view. It addresses earlier problems with visibility, resource discovery, fragmented access management, and security compliance. The excerpt begins to describe near real-time integration but cuts off before explaining it. ### Source excerpt Developers love Heroku for its elegance and simplicity to easily build and deploy any type of app or service in the languages they love. This flexibility enables developers to build robust custom applications or specialized capabilities like agent actions, complex pricing calculations, or real-time transformations and processing. These are often capabilities where Salesforce Admins and [...] The post Heroku AppLink Pilot: The Shortest Path to Bring Your Code to Agentforce appeared first on Heroku. ## !exploitable Episode Two - Enter the Matrix DevFeed: [!exploitable Episode Two - Enter the Matrix]() Original publisher: [Read original article]() Published: 2025-02-26T23:00:00Z Content type: article Language: en Sources: [Doyensec]() Topics: [code security](), [Memory Safety](), [ssh]() Tags: [added](), [amazing](), [arm](), [attack](), [auditing](), [automation](), [best](), [better](), [blog](), [blog-post](), [bug](), [build](), [building](), [can](), [candidate](), [code](), [code-execution](), [cve](), [doyensec](), [doyensecurity](), [easily](), [environments](), [exploit](), [hacking](), [infosec](), [matrix](), [offensive](), [pentest](), [pentester](), [reverse-engineering](), [security](), [vulnerability]() ### AI overview The article traces SSHNuke to SSH's CRC32 compensation attack detector and shows how a 16-bit size variable can wrap to zero when the buffer is large enough. In the standalone reproduction, a crafted input then drives an out-of-bounds access using attacker-controlled data, producing a controlled crash; the authors also patched an old OpenSSH client to send a similar SSH protocol 1 packet and reproduced the crash against an unpatched server. The resulting write primitive has substantial limits: writes use 16-bit entries, the accepted packet length caps the loop count, and once the static size reaches zero, later calls can loop indefinitely unless it is reset through a suitable write. The authors report crashing an unpatched OpenSSH, while noting that turning this primitive into remote code execution would require overcoming additional protocol and exploit constraints. ### Source excerpt Introduction In case you are just tuning in, Doyensec has found themselves on a cruse ship touring the Mediterranean. Unwinding, hanging out with colleagues and having some fun. Part 1 covered our journey into IoT ARM exploitation, while our next blog post, coming in the next couple weeks, will cover a web target. For this episode, we attempt to exploit one of the most famous vulnerabilities ever. SSHNuke from back in 2001. Better known as the exploit used by Trinity in the movie The Matrix Reloaded. Some Quick History Back in 1998 Ariel Futoransky and Emiliano Kargieman realized SSH's protocol was fundamentally flawed, as it was possible to inject cipher text. So a crc32 checksum was added in order to detect this attack. On February 8, 2001 Michal Zalewski posted to the Bugtraq mailing list an advisory named "Remote vulnerability in SSH daemon crc32 compensation attack detector" labeled CAN-2001-0144 (CAN aka CVE candidate) (ref). The "crc32" had a unique memory corruption vulnerability that could result in arbitrary code execution. A bit after June, TESO Security released a statement regarding the leak of an exploit they wrote. This is interesting as it demonstrates that until June there was no reliable public exploit. TESO was aware of 6, private exploits, including their own. Keep in mind, the first major OS level mitigation to memory corruption was not released until July of that year in the form of ALSR. A lack of exploits is likely due to the novelty of this vulnerability. The Matrix Reloaded started filming March of 2001 and was released May of 2003. It's impressive they picked such an amazing bug for the movie from one of the most well-known hackers of our day. Trying it yourself Building exploit environments is at best boring. At sea, with no Internet, trying to build a 20 year old piece of software is a nightmare. So while some of our team worked on that, we ported the vulnerability to a standalone main.c that anyone can easily build on any modern (or eve ## Now you can fork public repositories on GitHub Mobile DevFeed: [Now you can fork public repositories on GitHub Mobile]() Original publisher: [Read original article]() Author: Allison Published: 2024-12-11T20:18:46Z Content type: release Language: en Sources: [GitHub Changelog]() Topics: [GitHub](), [Repository]() Tags: [about](), [account](), [allows](), [app](), [app-store](), [apple](), [can](), [copy](), [easily](), [feature](), [fork](), [github](), [github-mobile](), [mobile](), [new-feature](), [personal](), [public](), [repositories](), [repository](), [this]() ### AI overview GitHub Mobile lets you fork a public repository directly to your personal account, creating a copy from the app. The source presents this as a way to work with public projects while on the go. It does not provide setup steps or describe platform-specific differences. ### Source excerpt You can now fork a public repository to your personal account directly from GitHub Mobile! This new feature allows you to easily create your own copy of a public repository... ## Open sourced my entire ChatGPT code for image text adventures DevFeed: [Open sourced my entire ChatGPT code for image text adventures]() Original publisher: [Read original article]() Author: Pieter Levels Published: 2023-11-27T00:00:00Z Content type: release Language: en Sources: [@levelsio (Pieter Levels)]() Topics: [ChatGPT](), [Adventure Game Interpreter]() Tags: [ai](), [based](), [can](), [chatgpt](), [code](), [create](), [creativity](), [easily](), [elevenlabs](), [gist](), [github](), [image](), [like](), [narration](), [one](), [open](), [stuff-i-made](), [tech](), [text](), [this](), [tutorials](), [videos](), [voice]() ### AI overview The author says they open-sourced their ChatGPT code for creating image-and-text adventures. For promotional videos, they mention RunwayML; for voice narration, they mention ElevenLabs. The excerpt gives no implementation details or comparison of these providers. ### Source excerpt ♻ Open sourced my entire ChatGPT code now 📜 So you can create your own image+text-based adventure like like this one easily: gist.github.com/levelsio/5bc87fd1... ## Multi-account support on GitHub.com DevFeed: [Multi-account support on GitHub.com]() Original publisher: [Read original article]() Author: Kevin Duck Published: 2023-11-03T15:35:26Z Content type: release Language: en Sources: [GitHub Changelog]() Topics: [GitHub](), [account](), [Authentication]() Tags: [2fa](), [account](), [also](), [authorization](), [automation](), [browser](), [but](), [can](), [context](), [contributions](), [easily](), [github](), [github-com](), [multi-account](), [multiple](), [multiple-accounts](), [picture](), [profile](), [switch](), [user]() ### AI overview GitHub.com's account switcher saves multiple signed-in accounts in the browser and lets users change accounts from the profile picture menu without re-entering credentials, as long as the session is active. It supports switching between employer-provided Enterprise Managed User accounts and personal accounts, and managing automation or integration service accounts. Permissions remain separate across saved accounts; if the current account cannot access a page, GitHub may prompt a switch. Sessions expire after two weeks without activity, after which sign-in and possibly 2FA are needed. Saved SAML/OIDC SSO authorization often expires after 1 or 24 hours and may need renewal to access organization resources. ### Source excerpt GitHub.com now remembers multiple accounts in your browser. You can find the account switcher in your profile picture context menu, letting you more easily switch between user accounts without re-entering... ## Accept E-Commerce Payments Easily with PayPal's Buttons Component DevFeed: [Accept E-Commerce Payments Easily with PayPal's Buttons Component]() Original publisher: [Read original article]() Author: Arit Developer Published: 2023-10-24T16:07:59Z Content type: tutorial Language: en Sources: [PayPal Technology]() Topics: [Front end](), [Tutorial](), [Server](), [Back end](), [REST API](), [developer setup]() Tags: [account](), [allows](), [am](), [api](), [app](), [back-end](), [basic](), [buttons](), [can](), [checkout](), [client](), [code](), [commerce](), [complete](), [component](), [e-commerce](), [easily](), [ecommerce](), [javascript](), [payments](), [payments-technology](), [paypal](), [programming](), [with]() ### AI overview The excerpt shows a PayPal Standard Checkout integration for an HTML and Node.js shop, first testing a basic flow and then calculating a multi-item cart total. It requires PayPal REST app credentials and a Personal Sandbox account; the demo uses sandbox mode. The basic version sends product IDs and quantities while the server creates an order with a hardcoded $100 amount. The custom version adds cart controls and looks up product prices from a makeshift datastore on both client and server; the server calculates the order amount from cart contents. The example cart totals $215. The excerpt emphasizes keeping transaction amounts off the front end and recommends verifying basic checkout before adding custom shop code. ### Source excerpt Accepting online payments is now a universal must-have, catering to everyone from solo entrepreneurs to massive global corporations. PayPal's Standard Checkout allows for seamless integration of PayPal's Payment Buttons component into your e-commerce app, granting you the power to accept online payments. In this guide, I am going to show how to add Standard Checkout to a simple shopping app, built with HTML and NodeJS. Guide Overview Part 1. Prerequisites Part 2a. Basic Integration -- Code Setup Part 2b. Basic Integration -- Checkout Flow Part 3a. Custom Integration -- Code Setup Part 3b. Custom Integration -- Checkout Flow Part 4. Conclusion Part 5. Additional PayPal Payment Integrations Part 1. Prerequisites To complete this integration, you will need the following information: API Credentials (Client ID and Secret) for a PayPal REST app: paste these from your Developer Dashboard. Since we are working in a development environment in this demo, ensure that the Sandbox Toggle is on. Obtain Test API Credentials The username and password for a Personal Sandbox account: you will need this to complete the checkout process. Navigate to Sandbox Accounts under Testing ToolsObtain Personal Sandbox Account login details You can grab the code for our completed Checkout Integration demo from the PayPal Developer GitHub repository. Part 2a. Basic Integration -- Code Setup Navigate to PayPal's Integrate Checkout documentation. The documentation shows you how to set your development environment up: installing npm, verifying your package.json file, and setting up your .env file. Next, you will set up your back-end server and front-end code. The documentation presents the contents of three files: server.js (for the back-end server), app.js (for the client-side logic) and checkout.html (for the user interface). Copy the Backend CodeCopy the Frontend Code Grab these code snippets and paste them into your IDE (Integrated Development Environment). I strongly recommend that you implement the ## Meet "YCharts": an Opensource Jetpack Compose chart library. DevFeed: [Meet "YCharts": an Opensource Jetpack Compose chart library.]() Original publisher: [Read original article]() Author: Codeangi Published: 2023-07-13T06:29:03Z Content type: article Language: en Sources: [ymedialabs-innovation]() Topics: [Jetpack Compose](), [compose-multiplatform](), [User Interfaces](), [Library]() Tags: [accessible](), [android](), [charts](), [charts-and-graphs](), [customization](), [data](), [developers](), [easily](), [effective](), [existing](), [features](), [graph](), [graphs](), [integrate](), [ios](), [jetpack-compose](), [kotlin](), [kotlin-multiplatform](), [lightweight](), [maven](), [opensource](), [powerful](), [recommended](), [relationships]() ### AI overview Y-Charts is an open-source chart library built with Jetpack Compose for integrating customizable data visualizations into Android UIs. The excerpt describes Cartesian charts (bar, line, wave, bubble, and combined bar-line) and polar charts (pie and donut). Data models and configuration options control axes, styles, labels, and behaviors such as scrolling, zooming, and slice clicks; bar charts also support horizontal orientation, grouping, and stacking. Reusable components include a scrollable canvas container, axis composables, accessibility support, and legends. The text also says a separate Kotlin Multiplatform repository is intended to share logic, models, and rendering across Android and iOS. ### Source excerpt Meet "Y-Charts": an Opensource Jetpack Compose chart library. GitHub - yml-org/YCharts: YCharts is a graph library for Android. Y-Charts is a Jetpack Compose-based charts/graphs library that enables developers to easily integrate various types of charts/graphs into their existing UI to visually represent statistical data. Jetpack Compose is Android's recommended modern toolkit for building native UI. Y-Charts leverages on powerful features of Jetpack Compose to deliver accurate and accessible results for users, and many reusable components allow it to be concise and lightweight also enabling developers to customize and add new charts with ease. Y-Charts Sample in action.Adding Y-charts to your project. You can add the library via Maven: https://medium.com/media/f3feb939f36855b0cec632a08a6c6fa8/hrefCharts in Y-Charts:1. Cartesian Charts: Cartesian charts, also known as coordinate charts or xy-charts, utilize a rectangular coordinate system with two perpendicular axes: the x-axis (horizontal) and the y-axis (vertical). These charts are particularly effective for displaying quantitative data and relationships between variables. AxisData: The AxisData model supplied to each chart item controls the behavior and appearance of X and Y axis labels, user can opt for default behavior via the builder and can customize according to their needs. Bar Charts: Bar charts use rectangular bars to represent data, where the length or height of each bar corresponds to its value. Y-Charts provides many customization including the orientation of the bar chart to achieve a horizontal-scroll behavior, along with grouping and stacking of bars. This enables users to visualize different types of bar charts with very few code changes. BarchartData and GroupBarChartData enable users to customize this behavior, additionally, users can change the appearance of the bars by using the BarStyle property. BarData represents the data for each bar shown in the chart. Following snippet shows the BarchartD ## Introducing the GitHub Markdown Helpers Public Beta DevFeed: [Introducing the GitHub Markdown Helpers Public Beta]() Original publisher: [Read original article]() Author: Kevin Duck Published: 2023-03-15T18:35:22Z Content type: release Language: en Sources: [GitHub Changelog]() Topics: [Markdown](), [GitHub]() Tags: [authoring](), [beta](), [commands](), [details](), [discussion](), [easily](), [faster](), [feature](), [features](), [feedback](), [github](), [html](), [idea](), [insert](), [issue](), [language](), [like](), [markdown](), [public-beta](), [time]() ### AI overview GitHub Markdown Helpers let users type `/` in Issue, Pull Request, or Discussion descriptions and comments, then choose a shortcut to insert Markdown without leaving the editor. The public beta includes code blocks with language-specific syntax highlighting, collapsible details, saved replies, tables, repository Issue or Pull Request templates, and tasklists. Tasklists are limited to organizations included in the private beta. ### Source excerpt GitHub users write a lot of Markdown; so much so that we render 2 billion Markdown files everyday; at peak times, we're processing 1,300 Markdown files a second! Any opportunity... [Next page]()