# product Published articles for product. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Web Search Limitations and Duplicated Tooling Complicate Market-Signal Agents DevFeed: [Web Search Limitations and Duplicated Tooling Complicate Market-Signal Agents]() Original publisher: [Read original article]() Author: Charlie Klein; Bryan Smith Published: 2026-09-17T17:00:00Z Content type: opinion Language: en Sources: [Databricks]() Topics: [Web](), [Software](), [Claude Code](), [codex](), [API](), [Model Context Protocol](), [databricks]() Tags: [agent](), [api](), [claude-code](), [codex](), [databricks](), [databricks-ai](), [llms](), [mcp](), [orchestration](), [platform](), [product](), [search](), [web]() ### AI overview The article describes an agent that combines company data in Databricks with web-based market signals. Its enrichment logic is rebuilt across Claude Code, Codex, and a direct model API workflow because each provides different tools, search behavior, and configuration requirements. The article argues that inconsistent web search and the lack of a shared layer make reliable account enrichment difficult. ### Source excerpt An agent that needs the outside worldAn engineer at a software company is building... ## Rate limits on GitLab.com are changing DevFeed: [Rate limits on GitLab.com are changing]() Original publisher: [Read original article]() Author: Sam Wiskow Published: 2026-09-17T00:00:00Z Content type: release Language: en Sources: [GitLab]() Topics: [GitLab](), [Automation](), [Users](), [account]() Tags: [2026](), [automation](), [credentials](), [gitlab](), [limits](), [platform](), [product](), [user](), [users]() ### AI overview GitLab.com will align rate limits with subscription tiers beginning October 19, 2026. Free accounts and unauthenticated requests change first, while Premium and Ultimate limits change in January 2027. Unauthenticated requests are limited to 60 requests per hour per IP address, with preview windows scheduled for October 7 and 14. ### Source excerpt GitLab.com hosts millions of projects for teams of every size that need a platform they can rely on. Demand is climbing quickly, and we expect platform load to grow several times over this year. Predictable limits are what keep GitLab.com fast for everyone on it, including the automation and agent workloads teams are building on the platform. To hold that as we scale, we're updating how rate limits work. Starting October 19, 2026, rate limits on GitLab.com will align with your subscription tier. Free accounts and unauthenticated requests happen first, on October 19. Premium and Ultimate move in January 2027. What is changing Limits align with your subscription. Free, Premium, and Ultimate subscription plans get their own limits, applied per user and per top-level group. Free takes effect October 19; Premium and Ultimate in January 2027. Signing in gets you the full limit. An authenticated request is governed by your subscription plan below. A request that arrives with no credentials gets 60 requests per hour per IP address. The per-plan limits are published in the rate limits documentation. What happens on October 19 There will be two preview windows for Free and unauthenticated traffic, on October 7 and October 14 from 15:00 to 19:00 UTC. Signed-in Premium and Ultimate requests are not affected, since those limits do not change until January. Unauthenticated requests are capped no matter where they come from, including automation running against a paid account without credentials. A preview window (engineers call these brownouts) is a short, planned window where we switch the new limits on and then switch them back off. Nothing else about the service changes while it runs. The point is to give you a real look at how your own workloads behave under the new limits, weeks before they apply for good. On October 19 the new limits take effect. We set these limits by looking at how GitLab.com is actually used. Almost all users are already inside the new limits and won't n ## "Regex for Rows": Simplifying Pattern Detection in SQL with MATCH\_RECOGNIZE DevFeed: ["Regex for Rows": Simplifying Pattern Detection in SQL with MATCH\_RECOGNIZE]() Original publisher: [Read original article]() Author: Kent Marten; Sergei Fedorov Published: 2026-09-16T17:14:05Z Content type: tutorial Language: en Sources: [Databricks]() Topics: [SQL](), [databricks](), [Cybersecurity](), [Security & Privacy]() Tags: [count](), [cybersecurity](), [databricks](), [failed](), [false-positives](), [functions](), [login](), [partition](), [product](), [real-time](), [regex](), [sql](), [window-functions]() ### AI overview This tutorial explains how Databricks supports SQL MATCH_RECOGNIZE for detecting ordered event patterns. It shows how the clause can simplify sequence detection, including identifying repeated login failures followed by a successful login, compared with complex SQL queries and window functions. ### Source excerpt Imagine you work in cybersecurity and you have a table that tracks login attempts... ## Reimagining advertising with AI DevFeed: [Reimagining advertising with AI]() Original publisher: [Read original article]() Published: 2026-09-16T13:00:00Z Content type: release Language: en Sources: [OpenAI News]() Topics: [Artificial Intelligence](), [OpenAI](), [ChatGPT](), [hubspot](), [Shopify]() Tags: [advertising](), [agents](), [ai](), [chatgpt](), [hubspot](), [integrations](), [openai](), [plugin](), [product](), [shopify](), [sponsored]() ### AI overview OpenAI introduces AI-powered advertising features in ChatGPT, including Sponsored Agents that let users converse with select business-sponsored agents after viewing an ad. It also adds prompt-based campaign tools and AI creative tools, plus integrations with HubSpot and Shopify. ### Source excerpt Explore new AI-powered advertising experiences from OpenAI, including Sponsored Agents, tools for marketers, and integrations with HubSpot and Shopify. ## How to connect AI usage to business value DevFeed: [How to connect AI usage to business value]() Original publisher: [Read original article]() Published: 2026-09-16T12:00:00Z Content type: tutorial Language: en Sources: [OpenAI News]() Topics: [Artificial Intelligence](), [ChatGPT](), [codex](), [data](), [Software Engineering]() Tags: [ai](), [analytics](), [business-value](), [chatgpt](), [codex](), [product](), [training]() ### AI overview This tutorial explains how ChatGPT Work and Codex analytics help administrators connect AI adoption, usage, spending, supported tasks, and outcomes to business decisions. It covers views for identifying training needs, evaluating workflows, reviewing model and tool usage, and monitoring Codex contributions and code-review activity. ### Source excerpt Learn how ChatGPT Work and Codex analytics help teams understand AI usage and spend, identify training needs, and connect adoption to business outcomes. ## When to use SAST versus an LLM security scanner DevFeed: [When to use SAST versus an LLM security scanner]() Original publisher: [Read original article]() Author: Chris Widstrom Published: 2026-09-16T00:00:00Z Content type: comparison Language: en Sources: [GitLab]() Topics: [Security](), [LLM security](), [Large Language Model](), [Application Security](), [Testing](), [Frontier Model](), [audit trail](), [business logic]() Tags: [application-security](), [audit-trail](), [features](), [frontier-model](), [llm](), [llm-security](), [product](), [sast](), [security](), [vulnerabilities]() ### AI overview This comparison explains when to use static application security testing (SAST) and when to use LLM-based security review. SAST provides predictable, repeatable, low-cost scanning across commits, while LLMs can reason about context and identify some intent-based or novel issues. The article recommends using both according to the task and scan scope. ### Source excerpt You're probably running some version of this experiment already: Point a frontier model at a merge request and ask it to double as a vulnerability scanner. On a single merge request, it often works well. The model reads the code, reasons about what it's supposed to do, and catches real issues, sometimes ones a pattern-based scanner misses entirely. So the next thought is reasonable: If a model reviews one merge request this well, why not let it replace the scanner across your whole pipeline? That's where it breaks down. Running a frontier model as your primary scanner on every commit across an enterprise codebase costs more and behaves less predictably, than asking it to review one merge request. If you run application security for a platform or product team, the decision was never mutually exclusive: static application security testing (SAST) or LLM scanners. It's which one runs where. Get that split right and you keep deterministic coverage on every commit, add reasoning where it earns its place, and avoid both an unpredictable inference bill and gaps in your audit trail. Here's how the two compare: Deterministic scanner (SAST)AI-based review (LLM)CostBetter Fractions of a cent per scan, fixed and predictable. A paid inference call per scan; cost scales with code volume and is hard to forecast.ConsistencyBetter Flags the same vulnerabilities, every time. Can flag or miss different vulnerabilities on the same code, run to run.Audit evidenceBetter Reproducible: same fixed method every time, mapped to a CWE Output can vary between runs, harder to use as standalone audit evidence.Vulnerability typesDepends on the vulnerability type Pattern-based, traceable flaws (injection)Depends on the vulnerability type Intent-based and novel flaws: missing auth checks, broken ownership logic, and issues not yet mapped to a CVE or CWE. Could reason about business logic using context from issues, epics, and docs.Validating a finding Flags potential vulnerabilities; can't confirm whe ## Meta lets Claude and Codex configure WhatsApp Business via MCP DevFeed: [Meta lets Claude and Codex configure WhatsApp Business via MCP]() Original publisher: [Read original article]() Author: Paul Sawers Published: 2026-09-15T22:08:56Z Content type: news Language: en Sources: [The New Stack]() Topics: [Meta](), [Model Context Protocol](), [AI-assisted coding](), [Claude](), [codex](), [API]() Tags: [ai](), [ai-agents](), [ai-coding-agents](), [api](), [claude](), [codex](), [developer-tools](), [mcp](), [mcp-server](), [meta](), [model-context-protocol](), [product](), [updates]() ### AI overview Meta announced a WhatsApp Business Tools MCP server that lets developers connect Claude or Codex to selected businesses they administer. The agents can help configure WhatsApp Business accounts, verify phone numbers, manage templates, and perform related API tasks, with access scoped to the businesses the developer selects. ### Source excerpt Any business worth its salt in 2026 needs to be embracing the right tools to reach its customers, and few The post Meta lets Claude and Codex configure WhatsApp Business via MCP appeared first on The New Stack. ## From Atlas experiment to Airlock: extracting agent governance into a product DevFeed: [From Atlas experiment to Airlock: extracting agent governance into a product]() Original publisher: [Read original article]() Author: WorkOS Published: 2026-09-15T15:35:36Z Content type: article Language: en Sources: [WorkOS Blog]() Topics: [Authorization](), [Security](), [Artificial Intelligence](), [App](), [Linear](), [Slack]() Tags: [agent](), [ai](), [ai-agents](), [authorization](), [email](), [integrations](), [linear](), [permission](), [policy](), [product](), [security](), [slack]() ### AI overview The article explains how WorkOS's Airlock grew from the Atlas experiment into a standalone authorization product for governing AI-agent actions in company tools. A demonstration shows policies blocking emails containing financial information and requiring approval for unfamiliar distribution lists. ### Source excerpt Airlock grew out of Atlas to give IT and security teams a shared way to govern agent actions. Aaron Tainter's Agent Night demo shows how it works. ## Syitren R400 is a portable Bluetooth CD player with a modular, customizable design DevFeed: [Syitren R400 is a portable Bluetooth CD player with a modular, customizable design]() Original publisher: [Read original article]() Author: Ida Torres Published: 2026-09-15T13:20:31Z Content type: opinion Language: en Sources: [Yanko Design]() Topics: [Hardware](), [Bluetooth]() Tags: [2026](), [a-design-award-and-competition](), [audio](), [audio-music-technology-a-design-award-and-competition-cd-player-music-player](), [bluetooth](), [cd-player](), [collection](), [cost](), [design](), [hardware](), [modular](), [mount](), [music](), [music-player](), [portable](), [product](), [technology]() ### AI overview The article presents Syitren's R400 as an entry-level portable Bluetooth CD player designed by ORGDOT Design. Its detachable modular shell supports customization, a desk stand, and an optional wall-mount bracket, while dual-material construction and cable-management details aim to improve everyday use. ### Source excerpt Finally, a CD Player Gen Z Actually Wants to Own It really warms my heart when I see Gen Z and Gen Alpha kids collecting physical media from their favorite artists. These are people who... ## What's new in CYPEX v2.0.0: tenancy moves from the query to the catalog DevFeed: [What's new in CYPEX v2.0.0: tenancy moves from the query to the catalog]() Original publisher: [Read original article]() Author: Svitlana Lytvynenko Published: 2026-09-15T06:06:05Z Content type: article Language: en Sources: [CYBERTEC PostgreSQL | Services & Support]() Topics: [PostgreSQL](), [tenant data protection](), [Security](), [Database]() Tags: [cypex](), [data-protection](), [database](), [how-to](), [news](), [postgresql](), [product](), [schema](), [security]() ### AI overview CYPEX 2.0.0 moves tenant isolation from application-level query filters into PostgreSQL row-level security policies stored in the database catalog. The policies use JWT claims to apply organization-specific access rules to every connection and query. ### Source excerpt This blog highlights the details of CYPEX 2.0, with each feature being explained in detail. Read to know more. The post What's new in CYPEX v2.0.0: tenancy moves from the query to the catalog appeared first on CYBERTEC PostgreSQL | Services & Support. ## Know Your Super Bowl: How Fraud Teams Can Prepare for Peak Payment Volume Spikes DevFeed: [Know Your Super Bowl: How Fraud Teams Can Prepare for Peak Payment Volume Spikes]() Original publisher: [Read original article]() Author: Sift Trust and Safety Team Published: 2026-09-02T16:15:14Z Content type: opinion Language: en Sources: [Sift Science]() Topics: [Security, Privacy and Abuse Prevention](), [Finance]() Tags: [agentic-commerce-fraud](), [business](), [digital-trust-safety](), [fraud-prevention](), [fraud-prevention-planning](), [incident-response-plan](), [payment-fraud](), [payment-volume-spikes](), [peak-payment-volume](), [product](), [seasonal-fraud-trends](), [shared-payment-credentials]() ### AI overview The article explains how fraud teams can prepare for predictable and unexpected payment volume spikes. It recommends identifying business-specific peak periods, coordinating forecasts and risk tolerance in advance, and tightly controlling fraud-rule changes around high-volume events. ### Source excerpt Every business has a Super Bowl. It just isn't always the Super Bowl. For one company, it might be Black Friday. For another, Valentine's Day. For others, the biggest payment spike of the year comes from a product launch, ticket release, or viral moment nobody saw coming. That was the premise of a recent Merchant [...] The post Know Your Super Bowl: How Fraud Teams Can Prepare for Peak Payment Volume Spikes appeared first on Sift. ## Elastic Stack 9.4.7 released DevFeed: [Elastic Stack 9.4.7 released]() Original publisher: [Read original article]() Author: adrian brown Published: 2026-09-15T00:00:00Z Content type: release Language: en Sources: [Elastic Blog - Elasticsearch, Kibana, and ELK Stack]() Topics: [releases](), [upgrade]() Tags: [product](), [release](), [upgrade]() ### AI overview Elastic Stack 9.4.7 has been released. The article recommends upgrading from earlier versions, including 9.4.6, and directs readers to the release notes for fixes and complete product-specific changes. ### Source excerpt Version 9.4.7 of the Elastic Stack was released today. We recommend you upgrade to this latest version. We recommend 9.4.7 over the previous versions 9.4.6 For details of the issues that have been fixed and a full list of changes for each product in this version, please refer to the release notes. ## Elastic Stack 9.5.4 released DevFeed: [Elastic Stack 9.5.4 released]() Original publisher: [Read original article]() Author: adrian brown Published: 2026-09-15T00:00:00Z Content type: release Language: en Sources: [Elastic Blog - Elasticsearch, Kibana, and ELK Stack]() Topics: [releases](), [upgrade]() Tags: [product](), [release](), [upgrade]() ### AI overview Elastic Stack 9.5.4 has been released. The article recommends upgrading from earlier versions, including 9.5.3, and directs readers to the release notes for fixed issues and product-specific changes. ### Source excerpt Version 9.5.4 of the Elastic Stack was released today. We recommend you upgrade to this latest version. We recommend 9.5.4 over the previous versions 9.5.3 For details of the issues that have been fixed and a full list of changes for each product in this version, please refer to the release notes. ## Manage Cursor costs with Datadog Cloud Cost Management DevFeed: [Manage Cursor costs with Datadog Cloud Cost Management]() Original publisher: [Read original article]() Author: Dom Nguyen; Doug Gunter Published: 2026-09-15T00:00:00Z Content type: tutorial Language: en Sources: [Datadog | The Monitor blog]() Topics: [cloud cost management](), [cursor](), [finops](), [ai-coding]() Tags: [ai](), [ai-coding](), [analysis](), [cloud-cost-management](), [configuration](), [datadog](), [features](), [filter](), [finops](), [monitor](), [monitors](), [product](), [software]() ### AI overview This tutorial explains how Datadog Cloud Cost Management helps teams analyze Cursor spending by user, model, usage mode, and billing group. It covers identifying cost drivers, detecting unexpected changes, correlating spend with usage, and using monitors, budgets, and dashboards to manage AI coding costs alongside cloud and SaaS spending. ### Source excerpt Analyze Cursor spend by user and model, catch unexpected cost changes, and manage AI coding costs alongside your cloud and SaaS spend. ## The Dodo Digest: The Report Is the Product DevFeed: [The Dodo Digest: The Report Is the Product]() Original publisher: [Read original article]() Author: Rishabh Goel Published: 2026-09-15T00:00:00Z Content type: article Language: en Sources: [Dodo Payments Blog]() Topics: [anthropic](), [Threat Research](), [Artificial Intelligence](), [Software Engineering]() Tags: [ai](), [anthropic](), [newsletter](), [product](), [report](), [threat-intelligence](), [v1]() ### AI overview This newsletter discusses Anthropic's report on eight months of AI misuse, including a campaign in which one person built an AI-assisted platform for mass attacks. It argues that startups can use reports to document learning, demonstrate expertise, and build trust, and mentions Dodo Payments v1.113.28 product improvements. ### Source excerpt Anthropic turned eight months of threat intelligence into a public report. Why every startup should document what it learns, plus v1.113.28: Reports, grace periods, and blocklists. ## Inside the AI Stack of an $8.3B AI Company's Product Team | Together AI DevFeed: [Inside the AI Stack of an $8.3B AI Company's Product Team | Together AI]() Original publisher: [Read original article]() Author: Aakash Gupta Published: 2026-09-14T23:05:28Z Content type: article Language: en Sources: [Product Growth]() Topics: [Artificial Intelligence](), [context](), [repo](), [context window](), [Developer experience](), [GitHub](), [Linear]() Tags: [ai](), [context](), [context-window](), [developer-experience](), [github](), [linear](), [product](), [repo](), [team](), [tools]() ### AI overview The article examines Together AI's AI-oriented product team and describes four parts of its working stack: a shared context repository, reusable skills for research and product documentation, an orchestrator for product leaders, and agent evaluations. It explains how shared context files and workflows support collaboration across product areas, including automated weekly status updates using Linear, GitHub, and strategy documents. ### Source excerpt I got a truly AI-pilled product team to demo the 4 key tools in their stack ## Dell Pro 5 16 (AMD) Laptop Review DevFeed: [Dell Pro 5 16 (AMD) Laptop Review]() Original publisher: [Read original article]() Author: Ryan Smith Published: 2026-09-14T16:25:36Z Content type: article Language: en Sources: [ServeTheHome]() Topics: [dell](), [Hardware](), [cpu](), [intel]() Tags: [amd](), [cpu](), [dell](), [external](), [hardware](), [intel](), [intel-core](), [laptop](), [laptops](), [mobile](), [modular](), [overview](), [performance](), [platform](), [portable](), [product](), [review](), [ryzen-ai](), [series](), [strix-point](), [thunderbolt]() ### AI overview A review of Dell's 16-inch Pro 5 business laptop powered by an AMD Ryzen AI 400 series processor. The article highlights its performance, modularity, business positioning, and comparability with Intel-based Dell models. ### Source excerpt Today we are taking a look at Dell's 16-inch laptop for mainstream business segment, the AMD-based Dell Pro 5 16. The pro laptop hits all the high notes, pairing an AMD Ryzen AI 9 HX PRO 470 processor with great modularity and a good balance between size, weight, and performance The post Dell Pro 5 16 (AMD) Laptop Review appeared first on ServeTheHome. ## Inside LuBot's database-per-tenant architecture DevFeed: [Inside LuBot's database-per-tenant architecture]() Original publisher: [Read original article]() Author: Carlota Soto Published: 2026-09-14T12:00:00Z Content type: article Language: en Sources: [Blog -- Neon Docs]() Topics: [Database](), [Software as a service](), [Supabase](), [Provisioning](), [stripe](), [API]() Tags: [api](), [architecture](), [billing](), [case-studies](), [checkout](), [database](), [infrastructure](), [product](), [provisioning](), [saas](), [scale](), [stripe]() ### AI overview This article explains LuBot's database-per-tenant architecture. LuBot uses Supabase for shared administrative data such as organizations, users, and billing state, while each paying customer receives an isolated Postgres database. Stripe checkout triggers a webhook that provisions a Neon branch through the Neon API, with deterministic naming to prevent duplicate tenants. Neon branches provide independent compute and can scale idle tenants to zero. ### Source excerpt It took six days to go from zero to isolated Postgres per tenant, provisioned the moment someone pays. A traditional Postgres setup would have been a full quarter of work. ## GitLab Dedicated: Compliance for a new regulatory era DevFeed: [GitLab Dedicated: Compliance for a new regulatory era]() Original publisher: [Read original article]() Author: Aathira Nair Published: 2026-09-14T00:00:00Z Content type: article Language: en Sources: [GitLab]() Topics: [GitLab](), [Software as a service](), [Amazon Web Services](), [Cybersecurity](), [Security](), [Resilience](), [Deployment](), [Testing](), [Multitenancy]() Tags: [amazon-web-services-aws](), [aws](), [compliance](), [deployment](), [gdpr](), [gitlab](), [infrastructure-as-code](), [nis2](), [product](), [regulatory](), [resilience](), [saas](), [security](), [testing]() ### AI overview The article presents GitLab Dedicated as a fully isolated, single-tenant SaaS platform hosted and managed by GitLab in a preferred Amazon Web Services region. It explains how the service is intended to help European enterprises address compliance, data sovereignty, audit readiness, security, resilience, and operational responsibilities related to DORA, NIS2, and GDPR. ### Source excerpt Enforcements such as NIS2 are no longer a future planning consideration. The European Union Agency for Cybersecurity's (ENISA) NIS360 report confirms that supervisory authorities are actively assessing cybersecurity maturity across critical sectors. The agency is moving from guidance and consultation into active oversight, scrutiny, and accountability. This is the regulatory environment European enterprises now operate in. Multi-tenant cloud platforms remove operational overhead but place source code and pipelines on shared infrastructure regulators now scrutinize. Self-managed solutions provide isolation but transfer responsibility for upgrade cycles, security patches, and disaster recovery (DR) tests to an already stretched platform team. Both deployment options leave gaps in risk management, data sovereignty, and furnishing audit evidence. In this article, you'll discover how GitLab Dedicated, a fully isolated, single-tenant SaaS solution deployed in your preferred Amazon Web Services (AWS) region and hosted and managed by GitLab, addresses these challenges and helps you keep pace with evolving compliance requirements. "NatWest Group is adopting GitLab Dedicated SaaS to enable our engineers to use a common cloud engineering platform; delivering new customer and colleague outcomes rapidly, frequently, and securely with high quality, automated testing, on-demand infrastructure, and straight-through deployment." -- Adam Leggett, Platform Lead for Engineering Platforms, NatWest Group Regulations are driving change In the European Union, key regulations are driving the need for a different platform approach. These regulations converge on a decision most enterprises made before they existed: a platform their developers build on. That decision now carries audit consequences it didn't before. Digital Operational Resilience Act (DORA), which came into force across EU financial services in January 2025, requires financial institutions to keep critical technology resilient, ## Apple is Working on Two iPhone Game Controllers Under its Beats Brand DevFeed: [Apple is Working on Two iPhone Game Controllers Under its Beats Brand]() Original publisher: [Read original article]() Author: Sarang Sheth Published: 2026-09-13T20:45:46Z Content type: article Language: en Sources: [Yanko Design]() Topics: [iphone](), [Hardware](), [Steam Deck](), [macOS]() Tags: [apple](), [audio](), [beats](), [devices](), [gadgets](), [gadgets-gaming-product-design-apple-beats-gaming-controllers](), [gaming](), [gaming-controllers](), [hardware](), [iphone](), [product](), [product-design]() ### AI overview Apple is reportedly developing two iPhone game controllers under its Beats brand. The unreleased T6502 is wired, while the Bluetooth-enabled T1057 adds motion sensors and a different haptic engine. Neither device has a confirmed price, release date, or launch status. ### Source excerpt Apple is Working on Two iPhone Game Controllers Under its Beats Brand Apple and the gaming crowd have always had one of those relationships where you nod at each other across a party and never actually walk... ## AI Agents in 2026 DevFeed: [AI Agents in 2026]() Original publisher: [Read original article]() Author: iHateReading Published: 2026-09-13T09:23:56Z Content type: opinion Language: en Sources: [iHateReading]() Topics: [Artificial Intelligence]() Tags: [agents](), [ai](), [ai-agents](), [ai-agents-ai-business-agents-ideas](), [ai-agents-in-2026-why-every-founder-s-stack-just-changed-for-good](), [backend](), [blockchain](), [business-agents](), [coding](), [development](), [frontend](), [ideas](), [ihatereading](), [javascript](), [node-js](), [product](), [programming](), [react](), [typescript](), [web-development]() ### AI overview The author revisits an earlier post that called AI agents "the next big thing," arguing that by September 2026 this no longer needs to be argued. ### Source excerpt Hey there!A while back, I wrote a short post calling AI agents "the next big thing." It's September 2026 now, and I don't need to convince anyone of that anymo... ## Company's Building AI Agent Sandbox SDKs & APIs DevFeed: [Company's Building AI Agent Sandbox SDKs & APIs]() Original publisher: [Read original article]() Author: iHateReading Published: 2026-09-12T13:15:15Z Content type: opinion Language: en Sources: [iHateReading]() Topics: [AI Agent](), [SDKs](), [Artificial Intelligence](), [Development]() Tags: [ai](), [ai-agent](), [ai-sandboxes](), [ai-sandboxes-vercel-aws-google-daytona](), [apis](), [aws](), [backend](), [blockchain](), [coding](), [company-s-building-ai-agent-sandbox-sdks-apis](), [daytona](), [developer](), [development](), [frontend](), [google](), [ihatereading](), [javascript](), [node-js](), [product](), [programming](), [react](), [sdks](), [typescript](), [vercel](), [web-development]() ### AI overview An opinion article discusses companies building AI agent sandboxes, SDKs, and APIs, in the context of an ongoing competition around AI sandboxes. ### Source excerpt Company's Building AI Agent Sandbox SDKs & APIs I wrote about the fight for AI sandboxes back in March -- the short version was that every AI agent that wri... ## A tag input that feels like a real product DevFeed: [A tag input that feels like a real product]() Original publisher: [Read original article]() Author: Marko Published: 2026-09-12T09:00:23Z Content type: tutorial Language: en Sources: [Marko Denic Tech]() Topics: [GUI](), [bug](), [Accessibility]() Tags: [blog-for-developers](), [bug](), [build-faster](), [code-productivity](), [code-smarter](), [content-monetization](), [css](), [css-animation](), [css-performance](), [developer-growth](), [developer-resources](), [email-newsletter-for-coders](), [forms](), [front-end-development](), [github-profile-automation](), [html](), [html-tips](), [javascript](), [javascript-tricks](), [learn-to-code](), [product](), [responsive-design-tips](), [ui](), [ux](), [web-dev-newsletter](), [web-development](), [web-development-tips](), [weekly-dev-tips](), [workflow-optimization]() ### AI overview A tutorial on building a robust tag-input control. It covers committing values with Enter, commas, blur, and paste; handling spreadsheet delimiters; avoiding duplicate tags; synchronizing hidden form inputs; and providing accessible chip removal controls. ### Source excerpt Your tag input is silently dropping the last thing users type. Here's the 4-line fix, plus paste handling that finally works with spreadsheets. ## Yestalgia: Bringing Decathlon's '90s Spirit to Life Through a Playful Digital Experience DevFeed: [Yestalgia: Bringing Decathlon's '90s Spirit to Life Through a Playful Digital Experience]() Original publisher: [Read original article]() Author: Quentin Hocdé and Jonathan Da Costa Published: 2026-09-12T08:40:31Z Content type: article Language: en Sources: [Codrops]() Topics: [micro-interactions for websites]() Tags: [90s-inspired-design](), [90s-web-design](), [animation](), [articles](), [case-study](), [creative-development](), [creative-technology](), [creative-web-design](), [decathlon-digital-experience](), [decathlon-website](), [decathlon-yestalgia](), [design](), [development](), [editorial-web-design](), [experimental-web-design](), [fashion-web-design](), [gsap](), [gsap-animation](), [illustration](), [immersive-web-experience](), [interactive-storytelling](), [interactive-website](), [lenis-smooth-scroll](), [motion-design](), [nostalgic-web-design](), [performance](), [piecesjs](), [product](), [product-focused-design](), [product-launch](), [rive](), [rive-animation](), [typography](), [walkman-navigation](), [web](), [web-animation](), [wordpress](), [wordpress-custom-theme](), [yestalgia]() ### AI overview This article presents Yestalgia, Decathlon's '90s-inspired capsule collection website. It explains how editorial product presentation, vibrant illustration, expressive typography, animation, micro-interactions, and a cassette-player navigation concept turn the campaign's nostalgic art direction into a playful digital experience. ### Source excerpt A closer look at how Yestalgia brings Decathlon's '90s-inspired vision to the web through art direction, interaction, animation, and creative development. [Next page]()