# oss Published articles for oss. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## What's New in OSS at Khan Academy DevFeed: [What's New in OSS at Khan Academy]() Original publisher: [Read original article]() Author: Khan Academy Published: 2017-04-03T22:00:00Z Content type: article Language: en Sources: [Khan Academy]() Topics: [Open Source](), [Software](), [React](), [Functional programming](), [JavaScript](), [Algorithms](), [jQuery]() Tags: [algorithms](), [engineering](), [functional-programming](), [javascript](), [news](), [open-source-software](), [oss](), [react](), [web-frontend]() ### AI overview Khan Academy highlights several recent open-source projects, including Mu Lambda, a small JavaScript library of functional programming utilities; React Balance Text, a React wrapper for Adobe's Balance-Text project; Fuzzy Match Utils, which uses string-matching algorithms for filtering; and React Multi Select. ### Source excerpt By Brian Genisio At Khan Academy, we rely heavily on Open Source Software (OSS). The majority of our ... Read more ## GHarchive data has become unreliable for measuring GitHub activity DevFeed: [GHarchive data has become unreliable for measuring GitHub activity]() Original publisher: [Read original article]() Author: KD (noreply@blogger.com) Published: 2026-09-03T16:00:00Z Content type: opinion Language: en Sources: [Google Open Source Blog]() Topics: [data](), [datasets](), [GitHub](), [Crawler](), [GitHub API](), [Open Source](), [GraphQL]() Tags: [collect](), [data](), [dataset](), [datasets](), [github](), [google](), [google-open-source](), [graphql](), [open-data-sets](), [open-source](), [oss](), [pipeline](), [pull-requests](), [retention](), [stream](), [volume]() ### AI overview This article examines the reliability of open source data, focusing on GHarchive's coverage of GitHub events. It argues that GHarchive should not be used for real-time or volume-based metrics because event retention has declined and some activity is omitted by the GitHub Event stream and API limitations. ### Source excerpt by Sophia Vargas, Google Open Source & Andrew Nesbitt, Ecosyste.ms Every second, open source contribution quietly shapes the software we rely on, and yet our view of this open ecosystem is surprisingly opaque. Open source development is performed in public spaces -- we can see the commits, issues and comments, the APIs and endpoints are free to use -- the logs are just sitting there, so why can't we just collect all of the data? ...Said every researcher, everywhere. However in most cases of open source related data, we are only looking at part of the whole. Why am I writing this post? Because many of us (including many business decision-makers) are too comfortable with unsubstantiated data. We've gotten used to it. Our models assume that it's smelly and we adjust the logic and weights to compromise. When it comes to open source, our confidence is even lower, even though our resulting decisions can directly impact individuals whom we collectively depend on. Let's consider one of my favorite datasets: GHarchive. Started as a hobby project in 2011, this crawler has amassed more than 15 years of event data from GitHub. While this source provides a historical record of open source development on GitHub, as a real-time or comprehensive source of metrics, it's unreliable and should not be a source for volume-based metrics. In 2025, GHarchive captured 14% fewer events than in 2024, despite steady growth in platform adoption. Since 2025, we estimate that data retention in GHarchive has fallen to ~50% and in 2026 it may be as low as 20% for some event types (see figure below). Prior to 2025, you could make the general assumption that the majority of events would be represented in this pipeline. Since 2025, we must now assume we may be missing at least half of events and possibly more -- not to mention all of the additional activity that's left out of the event API (see GitHub's GraphQL API.) The crawler logic behind this dataset is simple: give me all the events from the GitHub Ev ## Reverse Engineering a PostHog SuperDay DevFeed: [Reverse Engineering a PostHog SuperDay]() Original publisher: [Read original article]() Author: Josh Sherman Published: 2026-08-09T00:00:00Z Content type: opinion Language: en Sources: [Josh Sherman]() Topics: [Reverse Engineering](), [Open Source](), [Software]() Tags: [engineering](), [open-source-software](), [oss](), [reverse-engineering]() ### AI overview The author describes examining PostHog's onboarding wizard and open-source repositories while trying to understand whether certain issues and pull requests were connected to potential candidates. The author remains uncertain about this theory but found the core team's constructive feedback notable. ### Source excerpt I'm not here to bullshit anybody, I have never been through a PostHog SuperDay. Like many humans, I've read about it on their website, as they are a company that over-communicates just about everything. This tale started when I got curious about their onboarding wizard. Their pivot from analytics to self-driving systems mirrors what I've been working on for the last couple of years, which has accelerated greatly over the last 3 months. Figured there was probably something I could learn and possibly bite off to include in my own system. Figuring out what to do I've been around open source software (OSS) for a good long while now. Even though I've had some strong opinions about the state of things over the years, I still believe it's the way. If not for OSS, I wouldn't be able to say things like "I wrote a Lorem Ipsum generator that's somehow been installed over 1 million times." These days, most projects have a label on their issues that indicate what's good for a new contributor to pick on. PostHog's repos are no different, except the repo I was looking at didn't have any issues tagged with the good first issue tag. Not a big deal, with 100+ open issues I figured I'd be able to find something I could pick up to give me a chance to play with the codebase. I did find a handful of things, I even started to chase down one of them. As I did I realized I kept talking myself out of each issue because what appeared to be low hanging fruit was stuff that I could defend deprioritizing. A pattern started to emerge Along this journey of trying to find an issue worth fighting for, I started to notice a pattern of somewhat disparate issues and PRs opened by the same contributor. I also noticed that core team members (read: employees) were commenting on these issues and PRs and not in the usual "yea or nay" fashion that I see. The comments were constructive in a way that you'd be with a more junior teammate that you're attempting to mentor and train up. Not a bad thing, but the fe ## Growing up the hard way DevFeed: [Growing up the hard way]() Original publisher: [Read original article]() Published: 2026-07-22T00:00:00Z Content type: opinion Language: en Sources: [Chainguard: Unchained]() Topics: [Open Source](), [open-source-security](), [ai regulation](), [Artificial Intelligence](), [Security]() Tags: [chainguard-software-supply-chain-security](), [open-source](), [open-source-security](), [open-source-software](), [oss](), [security](), [shai-hulud](), [software-supply-chain-security](), [solarwinds](), [supply-chain](), [teampcp]() ### AI overview This opinion argues that open source is entering a difficult transition after supply-chain incidents, regulatory pressure, and the industrialization of malware. It forecasts that the Open Source definition will remain intact while enterprise and regulatory requirements change which open source software organizations are willing or permitted to consume, with AI-driven vulnerability discovery and poisoned distribution channels creating pressure on both fronts. ### Source excerpt Open source is growing up. Explore why AI, regulation, and enterprise security are reshaping how organizations consume open source software. ## The Maintainer of Last Resort DevFeed: [The Maintainer of Last Resort]() Original publisher: [Read original article]() Published: 2026-06-22T00:00:00Z Content type: opinion Language: en Sources: [Chainguard: Unchained]() Topics: [Open Source](), [Maintainers](), [Vulnerabilities](), [Software](), [Cloud]() Tags: [chainguard-containers](), [chainguard-libraries](), [chainguard-open-source](), [emertioss](), [maintainers](), [open-source](), [open-source-maintainer](), [oss](), [providers](), [software](), [vulnerabilities]() ### AI overview Chainguard proposes a Maintainer of Last Resort as a neutral backstop for abandoned open source projects. The model would fork vulnerable packages, apply fixes, publish verifiable builds, and handle future vulnerability disclosures when upstream maintainers cannot respond in time. ### Source excerpt Chainguard proposes a Maintainer of Last Resort to patch abandoned open source projects, publish trusted builds, and keep critical software secure. ## AI-driven zero-day combinations are challenging software security and open-source consumption DevFeed: [AI-driven zero-day combinations are challenging software security and open-source consumption]() Original publisher: [Read original article]() Published: 2026-05-28T00:00:00Z Content type: opinion Language: en Sources: [Chainguard: Unchained]() Topics: [Artificial Intelligence](), [open-source-security](), [Security](), [Open Source](), [Machine Learning, Security Attacks](), [Critical Infrastructure](), [openssf](), [sigstore]() Tags: [ai](), [anthropic-mythos](), [chainguard-containers](), [critical-infrastructure](), [fork](), [mfa](), [mythos](), [open-source](), [open-source-security](), [openssf](), [oss](), [project-glasswing](), [rust](), [sast](), [secure-open-source](), [security](), [sigstore]() ### AI overview The article argues that Mythos represents a potential new class of software-security threat: AI-driven combinations of existing issues that can produce more serious attacks than individual scanner findings. It discusses the limits of government regulation and calls for stronger trust infrastructure, coordinated disclosure, and safer open-source consumption. ### Source excerpt Mythos is changing software security fast. AI-driven zero-days demand new trust infrastructure, coordinated disclosure, and secure open source consumption. ## Fixing two minor git irritations in my OSS fork workflow DevFeed: [Fixing two minor git irritations in my OSS fork workflow]() Original publisher: [Read original article]() Author: Rob Published: 2026-05-26T10:00:00Z Content type: tutorial Language: en Sources: [Rob Allen]() Topics: [Git](), [Pull Request]() Tags: [branch](), [development](), [fork](), [git](), [oss](), [project](), [remote](), [repo](), [workflow]() ### AI overview A practical guide to reducing two minor irritations in an open-source Git fork workflow: ensuring the local main branch tracks upstream/main and configuring new branches to push to origin automatically on their first push. ### Source excerpt For OSS work, I work with two git remotes: upstream: the canonical OSS project repository, where main is the default branch and is what gets released. origin: a personal fork. All my feature branches live here. I set up locally like this: Fork the project repo to my account. Clone my fork locally, so the origin remote is my fork. Set an upstream remote using git remote add upstream . and then when working on... continue reading. ## Supply chain attacks expose weaknesses in open-source software trust DevFeed: [Supply chain attacks expose weaknesses in open-source software trust]() Original publisher: [Read original article]() Published: 2026-04-09T00:00:00Z Content type: opinion Language: en Sources: [Chainguard: Unchained]() Topics: [Open Source](), [vulnerability](), [Exploit](), [npm]() Tags: [ai-coding](), [attacks](), [chainguard](), [code](), [dependency](), [hardening](), [npm](), [open-source](), [open-source-security](), [oss](), [pypi](), [scanner](), [secrets](), [software-supply-chain-security](), [solarwinds](), [supply-chain](), [supply-chain-attacks](), [trust](), [vibe-coding](), [vulnerability](), [vulnerability-scanner]() ### AI overview This opinion article argues that a series of open-source supply chain attacks exposed a broken trust model. It discusses attacks involving npm and PyPI packages, stolen credentials, malicious contributors, and the limits of vulnerability scanning and hardening. ### Source excerpt Five supply chain attacks in 12 days exposed a broken trust model. Learn why scanning and hardening fail, and why trusting the source is the only fix. ## ClickHouse® Kafka Engine vs Tinybird Kafka Connector DevFeed: [ClickHouse® Kafka Engine vs Tinybird Kafka Connector]() Original publisher: [Read original article]() Author: Alberto Romeu Published: 2025-12-31T00:00:00Z Content type: comparison Language: en Sources: [Tinybird]() Topics: [clickhouse](), [Kafka]() Tags: [clickhouse](), [compare](), [kafka](), [oss](), [pipeline](), [scalable-analytics-architecture]() ### AI overview A comparison of the ClickHouse OSS Kafka Engine and Tinybird's Kafka connector, covering tradeoffs, failure modes, and when to choose each solution for a Kafka-to-ClickHouse pipeline. ### Source excerpt Compare ClickHouse OSS Kafka Engine and Tinybird's Kafka connector. Understand tradeoffs, failure modes and when to choose each solution for your Kafka to ClickHouse pipeline. ## OSS Japan 2025: A Breakthrough Year for Open Automotive Innovation DevFeed: [OSS Japan 2025: A Breakthrough Year for Open Automotive Innovation]() Original publisher: [Read original article]() Author: Cody Zuschlag Published: 2025-12-16T11:35:48Z Content type: article Language: en Sources: [Blog - Xen Project]() Topics: [Open Source](), [virtualization](), [systems](), [Arm]() Tags: [2025](), [amd](), [arm](), [automotive](), [cloud](), [collaboration](), [data-centers](), [event](), [future](), [infrastructure](), [open-source](), [oss](), [summit](), [talks](), [transformation](), [virtualization]() ### AI overview The article reports on the Xen Project's participation in Open Source Summit Japan and Automotive Linux Summit 2025. It presents open source as a foundation for software-defined vehicles, highlighting Xen's role in mixed-criticality workloads, cockpit virtualization, and vehicle software stacks. The article also emphasizes collaboration among silicon vendors, automotive manufacturers, and cloud and server infrastructure companies. ### Source excerpt The Xen Project is back from Open Source Summit Japan and Automotive Linux Summit 2025. This year's event felt like a true watershed moment for the automotive industry and for open source. Across talks, demos, and hallway conversations, one thing was clear: open source is now a foundational ## Postgres CDC in ClickHouse, A year in review DevFeed: [Postgres CDC in ClickHouse, A year in review]() Original publisher: [Read original article]() Author: Sai Srirampur Published: 2025-12-03T12:06:02Z Content type: article Language: en Sources: [ClickHouse Blog]() Topics: [clickhouse](), [Databases](), [Cloud](), [Open Source](), [GitHub]() Tags: [acquisition](), [clickhouse](), [integration](), [open-source](), [oss](), [postgres](), [review](), [year-in-review]() ### AI overview This article reviews the first year of ClickHouse's Postgres CDC connector in ClickHouse Cloud. It covers the 2024 acquisition and integration of PeerDB, the connector's progression from private preview to general availability, customer adoption, and the decision to keep PeerDB as a free, open, modular CDC engine. ### Source excerpt A look back at the evolution of the Postgres CDC connector in ClickHouse Cloud over its first year, following the 2024 PeerDB acquisition. ## The MonkCast: WASM and Edge Compute DevFeed: [The MonkCast: WASM and Edge Compute]() Original publisher: [Read original article]() Author: Fermyon Staff Published: 2025-11-18T12:00:00Z Content type: article Language: en Sources: [Fermyon - Experience the next wave of cloud computing.]() Topics: [wasm](), [Latency](), [Network](), [Serverless]() Tags: [ceo](), [edge-compute](), [edge-computing](), [latency](), [network](), [oss](), [serverless](), [wasm]() ### AI overview Fermyon CEO Matt Butcher joined the Monkcast for an episode discussing WebAssembly, edge computing, serverless compute, network latency, and open-source software. ### Source excerpt Our CEO Matt Butcher recently joined the Monkcast for an episode on Wasm, Edge Computing and beyond - diving deep into topics around serverless compute, network latency and OSS. ## gpt-oss-safeguard technical report DevFeed: [gpt-oss-safeguard technical report]() Original publisher: [Read original article]() Published: 2025-10-29T00:00:00Z Content type: article Language: en Sources: [OpenAI News]() Topics: [gpt-oss](), [Chain-of-thought](), [Open Source](), [API]() Tags: [api](), [chain-of-thought](), [gpt-oss](), [open-source](), [oss](), [reasoning](), [report](), [safety](), [technical]() ### AI overview This technical report introduces gpt-oss-safeguard-120b and gpt-oss-safeguard-20b, open-weight reasoning models fine-tuned from gpt-oss to classify content according to a supplied policy. It describes their capabilities, customization, chain-of-thought support, Responses API compatibility, and baseline safety evaluations. ### Source excerpt gpt-oss-safeguard-120b and gpt-oss-safeguard-20b are two open-weight reasoning models post-trained from the gpt-oss models and trained to reason from a provided policy in order to label content under that policy. In this report, we describe gpt-oss-safeguard's capabilities and provide our baseline safety evaluations on the gpt-oss-safeguard models, using the underlying gpt-oss models as a baseline. For more information about the development and architecture of the underlying gpt-oss models, see the original gpt-oss model model card⁠. ## Introducing gpt-oss-safeguard DevFeed: [Introducing gpt-oss-safeguard]() Original publisher: [Read original article]() Published: 2025-10-29T00:00:00Z Content type: release Language: en Sources: [OpenAI News]() Topics: [gpt-oss](), [OpenAI](), [Chain-of-thought](), [Inference](), [hugging face](), [model-deployment]() Tags: [chain-of-thought](), [developers](), [gpt-oss](), [hugging-face](), [inference](), [models](), [open](), [openai](), [oss](), [product](), [reasoning](), [research](), [safety]() ### AI overview OpenAI introduces gpt-oss-safeguard, a research preview of open-weight reasoning models for safety classification. The models let developers provide and revise their own policies at inference time, classify messages and conversations, and review the model's reasoning. They are available in 120b and 20b sizes under the Apache 2.0 license and can be downloaded from Hugging Face. ### Source excerpt OpenAI introduces gpt-oss-safeguard--open-weight reasoning models for safety classification that let developers apply and iterate on custom policies. ## LeRobot v0.4.0: Supercharging OSS Robot Learning DevFeed: [LeRobot v0.4.0: Supercharging OSS Robot Learning]() Original publisher: [Read original article]() Author: Steven Palma; Michel Aractingi; Pepijn Kooijmans; Caroline Pascal; Jade Choghari; Francesco Capuano; Adil Zouitine; Martino Russi; Thomas Wolf Published: 2025-10-24T00:00:00Z Content type: release Language: en Sources: [Hugging Face - Blog]() Topics: [lerobot](), [Robotics](), [datasets](), [parquet](), [Streaming](), [Command-line interface](), [hugging face](), [Benchmark](), [Open Source]() Tags: [cli](), [datasets](), [hugging-face](), [lerobot](), [oss](), [parquet](), [robotics](), [simulation](), [streaming]() ### AI overview LeRobot v0.4.0 upgrades open-source robot learning with LeRobotDataset v3.0, supporting chunked episodes, large-scale datasets, efficient video storage and streaming, unified Parquet metadata, faster loading, and dataset editing utilities. The release also adds LIBERO and Meta-World simulation support, simplified multi-GPU training, new VLA models, a plugin system for hardware integration, and a Hugging Face Robot Learning Course. ### Source excerpt We're on a journey to advance and democratize artificial intelligence through open source and open science. ## The Faces of Turso: Meet Mikaël Francoeur DevFeed: [The Faces of Turso: Meet Mikaël Francoeur]() Original publisher: [Read original article]() Author: Glauber Costa Published: 2025-10-21T00:00:00Z Content type: article Language: en Sources: [Turso Blog]() Topics: [Turso](), [Rust](), [SQLite](), [Databases](), [Software Engineering](), [JavaScript](), [TypeScript]() Tags: [ai](), [bug](), [community](), [contribute](), [contributors](), [javascript](), [oss](), [rust](), [sqlite](), [turso](), [typescript]() ### AI overview This profile introduces Mikaël Francoeur, a musician-turned-software engineer who studies Rust and database internals while contributing full-time to Turso. It highlights his work implementing SQLite-compatible JSON functions, improving JavaScript bindings, fixing an issue in napi-rs, and investigating more than 90 bugs. ### Source excerpt Turso is built by a large community of contributors. Today we get to know Mikaël Francoeur ## Nemotron-Personas-Japan: ソブリン AI のための合成データセット DevFeed: [Nemotron-Personas-Japan: ソブリン AI のための合成データセット]() Original publisher: [Read original article]() Author: Atsunori Fujita; Masaya Ogushi; Vincent Gong; Kotaro Yamamoto; Yoshi Suhara; Dane Corneil; Yev Meyer Published: 2025-09-26T06:25:50Z Content type: article Language: ja Sources: [Hugging Face - Blog]() Topics: [datasets](), [Nemotron](), [Artificial Intelligence](), [data](), [Large Language Model](), [NeMo](), [Nvidia](), [gpt-oss](), [pii](), [Pydantic]() Tags: [ai](), [apache](), [data](), [gpt-oss](), [japan](), [llm](), [nemo](), [nemotron](), [nvidia](), [oss](), [pii]() ### AI overview NVIDIA has released Nemotron-Personas-Japan, an open synthetic dataset of Japanese personas designed to support culturally grounded and privacy-preserving AI development. Built with NeMo Data Designer, it contains six million Japanese-language personas aligned with Japanese demographic, geographic, cultural, and labor statistics, without including personally identifiable information. ### Source excerpt 高品質で多様なトレーニングデータなしに、日本文化を真に理解するAIを構築することはこれまでほぼ不可能でした。これを変えるため、NVIDIAは、日本の人口統計、地理的分布、文化的特性に沿ったペルソナを含む初のオープン合成データセット、Nemotron-Personas-Japan を公開しました。CC BY 4.0 ライセンスのもと提供される本データセットは、機微な個人データに依存することなく日本社会を反映した AI システム構築のための、プライバシー保護と規制対応を両立した基盤を提供します。 NVIDIA のエンタープライズ向け合成データ生成システム、NeMo Data Designer を用いて作成されたNemotron-Personas-Japan は、すでに広く利用されている US Personas データセットの成功を機に日本版として開発されました。本リリースは、各国・地域におけるソブリン AI 開発を支援する合成ペルソナデータセットとデータ構築方法のグローバルコレクションの第一弾です。 ## From Framework-Hopping to Laravel Focused: The Artisan of the Day Is Bert De Swaef. DevFeed: [From Framework-Hopping to Laravel Focused: The Artisan of the Day Is Bert De Swaef.]() Original publisher: [Read original article]() Author: Ana Tavares Published: 2025-08-29T12:04:56Z Content type: article Language: en Sources: [Laravel Blog]() Topics: [Laravel](), [Livewire](), [React](), [Vue.js](), [Front end](), [Web](), [Angular](), [Symfony]() Tags: [angular](), [community](), [compliance](), [developer](), [eu](), [framework](), [frontend](), [laravel](), [meetup](), [oss](), [react](), [symfony](), [tutorials](), [vat](), [vue](), [web](), [web-apps](), [youtube]() ### AI overview A profile of Belgian developer Bert De Swaef and Vulpo, whose adoption of Laravel improved delivery speed and code maintainability. The article covers Vulpo's custom web work, Bert's Laravel tutorials and open-source package for validating European VAT numbers, and his participation in Laracon and local developer communities. ### Source excerpt Belgian developer Bert de Swaef leads Vulpo, builds with Laravel, shares tutorials on YouTube, and speaks at Laracon and community meetups. ## Kickstart Your Dev Journey with Python, React & OSS Guide DevFeed: [Kickstart Your Dev Journey with Python, React & OSS Guide]() Original publisher: [Read original article]() Author: Abhimanyu Saharan Published: 2025-07-03T00:00:00Z Content type: tutorial Language: en Sources: [Abhimanyu Saharan]() Topics: [Python](), [React](), [Open Source](), [Frameworks]() Tags: [dev](), [examples](), [frameworks](), [guide](), [how-to](), [learn](), [open-source](), [oss](), [projects](), [python](), [react](), [software-engineering]() ### AI overview A guide to starting a developer journey with Python, React, and open source. It covers frameworks to learn, project ideas, and first contributions using real project examples. ### Source excerpt Learn which Python and React frameworks to master, what projects to build, and how to make your first open source contribution with real project examples. ## ClickStack: A High-Performance OSS Observability Stack on ClickHouse DevFeed: [ClickStack: A High-Performance OSS Observability Stack on ClickHouse]() Original publisher: [Read original article]() Author: Mike Shi Published: 2025-05-29T00:00:00Z Content type: news Language: en Sources: [ClickHouse Blog]() Topics: [clickhouse](), [observability](), [Open Source](), [OpenTelemetry](), [telemetry](), [session replay](), [Traces]() Tags: [announce](), [cardinality](), [clickhouse](), [compression](), [logs](), [metrics](), [observability](), [opentelemetry](), [oss](), [performance](), [saas](), [session-replay](), [traces]() ### AI overview ClickHouse announces ClickStack, an open-source observability stack powered by ClickHouse and HyperDX. It provides logs, metrics, traces, and session replay through an integrated experience with OpenTelemetry collection, a wide-events UI, natural-language querying, alerting, and high-performance storage and analytics. ### Source excerpt We're delighted to announce ClickStack: the open-source observability stack built on ClickHouse - logs, metrics, traces, and session replay in one blazing-fast, developer-friendly platform. ## Side Projects Reverie DevFeed: [Side Projects Reverie]() Original publisher: [Read original article]() Author: Carlos Alexandro Becker Published: 2024-11-29T00:00:00Z Content type: opinion Language: en Sources: [Carlos Becker]() Topics: [Maintainers](), [GitHub]() Tags: [github](), [oss](), [projects](), [side-projects]() ### AI overview A personal reflection on building side projects by solving problems for oneself, releasing the results as open source, iterating quickly, and accepting that many projects will be abandoned. ### Source excerpt A short reflection on side projects, and how I do them. ## Touchlab: OSS library updates - Jigar Brahmbhatt DevFeed: [Touchlab: OSS library updates - Jigar Brahmbhatt]() Original publisher: [Read original article]() Published: 2024-03-28T00:00:00Z Content type: release Language: en Sources: [Touchlab | Enterprise Mobile Innovation & Development]() Topics: [Open Source](), [Library](), [Kotlin](), [Gradle](), [multiplatform]() Tags: [android](), [gradle](), [ios](), [kotlin](), [kotlin-multiplatform](), [library](), [multiplatform](), [open-source](), [oss](), [release](), [updates]() ### AI overview Touchlab summarizes recent updates to its open-source libraries, including Xcode-Kotlin 1.3.1, DroidconKotlin changes, SKIE 0.6.2, Kermit 2.0.3, and newer Kotlin and Gradle configurations across several libraries. ### Source excerpt Glance at latest updates to various open source libraries published by Touchlab ## Our approach to continuous documentation for Chainguard Images DevFeed: [Our approach to continuous documentation for Chainguard Images]() Original publisher: [Read original article]() Published: 2024-01-24T00:00:00Z Content type: article Language: en Sources: [Chainguard: Unchained]() Topics: [Documentation](), [chainguard images](), [container images](), [chainguard](), [PHP](), [GitHub Actions](), [YAML](), [JSON](), [Terraform]() Tags: [chainguard](), [chainguard-images](), [container-images](), [devops](), [documentation](), [github-actions](), [json](), [open-source-software-security](), [oss](), [php](), [refactoring](), [terraform](), [yaml]() ### AI overview This article explains Chainguard's Autodocs system for continuously generating documentation for Chainguard Images. The workflow uses image metadata, README files, PHP, GitHub Actions, JSON caches, and the Chainguard Registry to generate approximately 1,600 Markdown pages for about 500 images at each run. ### Source excerpt Elevate your DevOps with Chainguard's Autodocs: Continuous, automated documentations for secure container images made easy. ## Kubeburned out? Navigating the world of Kubernetes without losing your spark DevFeed: [Kubeburned out? Navigating the world of Kubernetes without losing your spark]() Original publisher: [Read original article]() Published: 2024-01-10T00:00:00Z Content type: article Language: en Sources: [Chainguard: Unchained]() Topics: [Kubernetes](), [Open Source](), [Documentation](), [pull-requests](), [coding]() Tags: [build](), [community](), [contribute](), [guide](), [how-to](), [kubecon-na](), [kubernetes](), [learn](), [open-source](), [open-source-software](), [oss](), [pull-requests]() ### AI overview A practical guide to contributing to Kubernetes sustainably. It recommends finding a suitable Special Interest Group, starting with small changes and pull requests, participating actively, and setting boundaries to avoid burnout. ### Source excerpt Want to contribute to Kubernetes but don't know where to start? Learn how to do it in a sustainable way. [Next page]()