# Developer Tools Published articles for Developer Tools. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Automattic CEO Matt Mullenweg returned after 33 hours of leave without a public explanation DevFeed: [Automattic CEO Matt Mullenweg returned after 33 hours of leave without a public explanation]() Original publisher: [Read original article]() Author: Adrian Bridgwater Published: 2026-09-16T20:39:42Z Content type: news Language: en Sources: [The New Stack]() Topics: [WordPress](), [App](), [Open Source](), [Tumblr]() Tags: [cloud-services](), [company](), [cto](), [developer-tools](), [governance](), [matt-mullenweg](), [open-source](), [wordpress]() ### AI overview Automattic CEO Matt Mullenweg was placed on leave and reinstated about 33 hours later. The company has not publicly explained what prompted the leave or return, while observers have raised--but not established--the possibility of an attempted change in control. ### Source excerpt There were unusual goings-on this month at Automattic, a company known for its free and open-source app for building WordPress The post Automattic says CEO Mullenweg was gone and back inside 33 hours. What happened between? appeared first on The New Stack. ## Zed launches Delta public beta for collaborative code review with developers and coding agents DevFeed: [Zed launches Delta public beta for collaborative code review with developers and coding agents]() Original publisher: [Read original article]() Author: Paul Sawers Published: 2026-09-16T19:45:30Z Content type: article Language: en Sources: [The New Stack]() Topics: [GitHub](), [AI-assisted coding](), [pull-requests](), [Developer Platform](), [Tooling]() Tags: [ai](), [ai-agents](), [beta](), [coding-agents](), [collaboration](), [developer](), [developer-tools](), [github](), [pull-requests](), [review](), [software-development]() ### AI overview Zed has announced the public beta of Delta, a collaborative environment where developers and coding agents work, review, and revise code together in shared threads rather than pull requests. The article presents Delta as a response to the volume of agent-generated code and limitations of the pull-request model. ### Source excerpt Something of a consensus has emerged from the developer fraternity in 2026 -- GitHub, a platform built substantively for human The post "Everyone's in a race to replace GitHub": Zed launches Delta because agents made pull requests obsolete appeared first on The New Stack. ## Anthropic merges Claude Chat and Cowork into one interface DevFeed: [Anthropic merges Claude Chat and Cowork into one interface]() Original publisher: [Read original article]() Author: Amanda Caswell Published: 2026-09-16T16:46:36Z Content type: news Language: en Sources: [The New Stack]() Topics: [anthropic](), [Claude]() Tags: [ai-agents](), [ai-infrastructure](), [anthropic](), [chat](), [claude](), [connectors](), [context](), [developer-tools](), [tools](), [workflow]() ### AI overview Anthropic is merging Claude Chat and Cowork into a single interface, allowing conversations to handle simple questions, multi-step projects, connected tools, and background execution. Claude Docs and Claude Slides are launching in beta on paid plans, while Claude Design is moving into conversations. ### Source excerpt Using Claude for anything beyond a quick question has always started with a routing decision to use Chat or Cowork? The post Anthropic bet users were choosing wrong. So it removed the choice. appeared first on The New Stack. ## Test GitHub Actions Locally with Act DevFeed: [Test GitHub Actions Locally with Act]() Original publisher: [Read original article]() Author: Valerie Nielson Published: 2026-09-16T12:00:44Z Content type: tutorial Language: en Sources: [Atomic Object]() Topics: [GitHub Actions](), [CI/CD](), [Docker](), [Testing](), [unit test]() Tags: [ci-cd](), [developer-tools](), [docker](), [github](), [github-actions](), [pull-request](), [testing](), [unit-test](), [workflow]() ### AI overview This tutorial explains how to test GitHub Actions workflows locally with act. It describes how act uses Docker to reproduce the workflow environment, including environment variables and the file system, and demonstrates testing pull-request workflows and unit tests before merging. ### Source excerpt GitHub Actions are a great way to implement CI/CD into your projects, whether personal or professional. GitHub has a lot of great tools to help with CI/CD, but GitHub Actions in particular is very helpful. However, writing actions can be tedious and a little annoying, especially if you don't know what you're doing. On top [...] The post Test GitHub Actions Locally with Act appeared first on Atomic Spin. ## tota11y - an accessibility visualization toolkit DevFeed: [tota11y - an accessibility visualization toolkit]() Original publisher: [Read original article]() Author: Khan Academy Published: 2015-06-08T22:00:00Z Content type: release Language: en Sources: [Khan Academy]() Topics: [Accessibility](), [audit](), [Testing](), [Tooling](), [browser](), [Chrome]() Tags: [accessibility](), [accessibility-testing](), [audit](), [browser](), [chrome](), [developer-tools](), [engineering](), [frontend](), [linter](), [news](), [testing](), [tests](), [tooling](), [unit-tests](), [visualization](), [web](), [web-frontend]() ### AI overview Khan Academy announces tota11y, an accessibility visualization toolkit designed to make manual accessibility testing easier for developers. The article describes its development and use of browser-based annotations to help teams understand and fix accessibility issues. ### Source excerpt By Jordan Scales Today we're releasing tota11y (on GitHub), an accessibility visualization toolkit that aims to reduce the ... Read more ## OpenAI's Greg Brockman discusses computer use as an alternative to purpose-built AI agent integrations DevFeed: [OpenAI's Greg Brockman discusses computer use as an alternative to purpose-built AI agent integrations]() Original publisher: [Read original article]() Author: Meredith Shubel Published: 2026-09-15T23:41:22Z Content type: opinion Language: en Sources: [The New Stack]() Topics: [computer-use](), [OpenAI](), [Model Context Protocol](), [Reinforcement learning]() Tags: [ai-agents](), [computer-use](), [developer-tools](), [developers](), [mcp](), [model-context-protocol](), [openai](), [reinforcement-learning]() ### AI overview OpenAI president and co-founder Greg Brockman discusses whether AI agents could use computers through screens, keyboards, and mice instead of relying on purpose-built MCP servers, CLIs, APIs, and other integrations. ### Source excerpt This week on the a16z show, Greg Brockman, president and co-founder of OpenAI, made the point that developers have been The post OpenAI president: "The computer should be there to empower you." So stop retooling software for AI agents appeared first on The New Stack. ## 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. ## Bolt.new tests Forge, offering more coding-model usage in exchange for anonymized developer sessions DevFeed: [Bolt.new tests Forge, offering more coding-model usage in exchange for anonymized developer sessions]() Original publisher: [Read original article]() Author: Amanda Caswell Published: 2026-09-15T18:47:23Z Content type: article Language: en Sources: [The New Stack]() Topics: [AI-assisted coding](), [Training AI Models](), [Open Source Models & Datasets](), [Agent Harness]() Tags: [agent](), [agent-harness](), [ai](), [ai-development](), [ai-engineering](), [ai-models](), [coding-agents](), [data](), [developer-tools](), [developers](), [training]() ### AI overview Bolt.new is testing Forge, a research preview for individual Pro subscribers that offers up to 50 times more usage of open-weight coding models in exchange for opting in to share anonymized coding sessions. The sessions may include prompts, source code, fix traces, and conversations with the coding agent, and will support an Arcee AI project to train a trillion-parameter-class open-weight model. ### Source excerpt Bolt.new, StackBlitz's browser-based AI development platform, is testing a new trade with developers: more coding-model usage in exchange for training The post Bolt is giving developers 50x more compute. But there's a catch. appeared first on The New Stack. ## Red Hat Developer Hub: Preventing compliance violations with AI coding agents DevFeed: [Red Hat Developer Hub: Preventing compliance violations with AI coding agents]() Original publisher: [Read original article]() Author: Evan Shortiss, Ben Wilcock Published: 2026-09-15T13:17:13Z Content type: tutorial Language: en Sources: [Red Hat](), [Red Hat Developer]() Topics: [internal developer portal](), [AI-assisted coding](), [Backstage](), [Claude Code](), [Command-line interface](), [Model Context Protocol](), [Security]() Tags: [ai-coding-agents](), [ai-inference](), [backstage](), [catalog](), [claude-code](), [cli](), [developer](), [developer-productivity](), [developer-tools](), [mcp](), [platform-engineering](), [security]() ### AI overview This tutorial demonstrates how an AI coding agent connected to Red Hat Developer Hub can query a Backstage software catalog, TechDocs, and software templates before making architectural decisions. Using a simulated insurance-company catalog, the demo shows how this context can help avoid PCI-DSS compliance violations, resolve governance conflicts, and create a traceable decision record. ### Source excerpt AI coding agents can generate entire services, reason about architectures, and scaffold applications in minutes. But ask one to build a service for your organization and you'll quickly notice the gap: it doesn't know your rules. It doesn't know which messaging broker your compliance team mandates, which services already exist in adjacent domains, or which project template is the golden path for your team. The post Red Hat Developer Hub: Preventing compliance violations with AI coding agents appeared first on Red Hat Developer. ## Python 3.14 free-threaded build is now available in RHEL DevFeed: [Python 3.14 free-threaded build is now available in RHEL]() Original publisher: [Read original article]() Author: Lumír Balhar Published: 2026-09-14T13:01:41Z Content type: release Language: en Sources: [Red Hat](), [Red Hat Developer]() Topics: [Python 3.14](), [Python](), [Concurrency](), [Linux](), [Concurrent Programming](), [cpu]() Tags: [cpu](), [developer-tools](), [developers](), [linux](), [performance](), [programming-languages-frameworks](), [python](), [python-3-14](), [red-hat](), [release](), [rhel](), [thread](), [upstream-release]() ### AI overview Red Hat Enterprise Linux 9.8 and 10.2 now provide a free-threaded Python 3.14 build through the Red Hat CodeReady Linux Builder repositories. With the GIL disabled, CPU-bound Python threads can execute in parallel across multiple CPU cores within a single process. The article explains expected performance benefits, installation, verification, and possible thread-safety issues in existing code. ### Source excerpt Developers on Red Hat Enterprise Linux 9.8 and 10.2 can now test full parallel CPU execution in Python using the new free-threaded Python 3.14 build. In addition to the regular Python 3.14 interpreter, we also provide the free-threaded variant in the Red Hat CodeReady Linux Builder repositories. Python 3.14 is the first upstream release where the free-threaded build is officially supported rather than experimental. The post Python 3.14 free-threaded build is now available in RHEL appeared first on Red Hat Developer. ## "Same mission, bigger stage": OpenAI hires Git AI founders to help Codex prove its ROI DevFeed: ["Same mission, bigger stage": OpenAI hires Git AI founders to help Codex prove its ROI]() Original publisher: [Read original article]() Author: Paul Sawers Published: 2026-09-12T14:46:53Z Content type: news Language: en Sources: [The New Stack]() Topics: [ai observability](), [cursor]() Tags: [ai](), [ai-agents](), [ai-coding](), [codex](), [cost](), [cursor](), [developer-tools](), [git](), [open-source](), [openai]() ### AI overview OpenAI hired Git AI's founders to help measure the performance, cost, and return on investment of Codex and other AI coding tools. ### Source excerpt OpenAI has hired the founders of Git AI, an open-source tool that tracks how much code is written by AI The post "Same mission, bigger stage": OpenAI hires Git AI founders to help Codex prove its ROI appeared first on The New Stack. ## Why Go is an Ideal Language for AI-Assisted Software Engineering DevFeed: [Why Go is an Ideal Language for AI-Assisted Software Engineering]() Original publisher: [Read original article]() Author: Cameron Balahan; Richard Seroter Published: 2026-09-12T11:04:33.891311Z Content type: opinion Language: en Sources: [Google Developers Blog]() Topics: [Go Language](), [Software Engineering](), [AI Development](), [Architecture & Design](), [Tooling]() Tags: [ai](), [ai-coding](), [compatibility](), [developer-tools](), [engineering](), [go](), [software-development](), [software-engineering]() ### AI overview The article argues that AI-assisted software engineering shifts developers' work from writing boilerplate toward reviewing, verifying, maintaining, and architecting systems. It presents Go as well suited to this model because its simplicity, readability, tooling, compatibility guarantees, and team-oriented design provide consistency and guardrails for AI-generated code. ### Source excerpt As AI coding assistants shift the developer's primary role from writing boilerplate to reviewing and maintaining systems, language choice becomes critical for long-term architectural integrity. Go directly addresses this new paradigm by utilizing its strict compiler, integrated toolchain, and uncompromising readability to provide deterministic guardrails that help AI models self-correct and generate highly standardized code. By enforcing ecosystem-wide consistency and strict backward compatibility, the Go platform empowers engineering teams to efficiently verify, optimize, and maintain high-velocity, AI-generated output in production environments. ## What Is an Agent Harness? The Architecture Behind Claude Code, DeepSeek Harness, and Hermes Agent DevFeed: [What Is an Agent Harness? The Architecture Behind Claude Code, DeepSeek Harness, and Hermes Agent]() Original publisher: [Read original article]() Author: Rudrendu Paul Published: 2026-09-11T15:07:18Z Content type: tutorial Language: en Sources: [freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More]() Topics: [AI Bots](), [AI-assisted coding]() Tags: [agent](), [ai-agents](), [architecture](), [artificial-intelligence](), [claude-code](), [deepseek](), [developer-tools](), [llm](), [machine-learning](), [mcp](), [memory](), [python](), [sandbox](), [software-engineering](), [tools]() ### AI overview An explainer and hands-on guide to agent harnesses: the runtime infrastructure around an LLM that manages model calls, tool execution, memory, and filesystem sandboxing. It compares popular harnesses and introduces a small Python implementation. ### Source excerpt On August 13, 2026, DeepSeek published a GitHub repository called deepseek-harness. Within two days, it had passed 95,386 stars and 8,826 forks (a vanity metric on its own, but a spike this fast signa ## Mixpanel Is Easy to Install. Trusting the Data Takes Work. DevFeed: [Mixpanel Is Easy to Install. Trusting the Data Takes Work.]() Original publisher: [Read original article]() Author: Jared Currie Published: 2026-09-11T12:00:56Z Content type: tutorial Language: en Sources: [Atomic Object]() Topics: [data](), [dashboards]() Tags: [dashboards](), [data](), [developer-tools](), [metric](), [metrics](), [properties](), [retention](), [tracking]() ### AI overview This tutorial explains how to improve trust in Mixpanel analytics by defining business questions and metric terms, filtering noise such as employees, automated tests, scrapers, and duplicate events, and documenting each metric's scope and limitations. ### Source excerpt Mixpanel makes it easy to start collecting events and building dashboards. The harder part is knowing whether those dashboards represent real product usage. A report can look polished while counting employees, automated browser tests, web scrapers, duplicate events, or actions that users attempted but never completed. It can also be technically correct while answering a [...] The post Mixpanel Is Easy to Install. Trusting the Data Takes Work. appeared first on Atomic Spin. ## What to expect at the Zephyr Project Meetup (September 17, 2026) - Zurich, Switzerland DevFeed: [What to expect at the Zephyr Project Meetup (September 17, 2026) - Zurich, Switzerland]() Original publisher: [Read original article]() Author: Susan Remmert Published: 2026-09-10T05:00:25Z Content type: news Language: en Sources: [Zephyr Project]() Topics: [Embedded Systems](), [Open Source](), [Embedded Software Dev](), [Tooling](), [Artificial Intelligence]() Tags: [2026](), [blog](), [community](), [debugging](), [developer-tools](), [developers](), [embedded](), [embedded-systems](), [event](), [events](), [meetup](), [modem](), [networking](), [open-source](), [practical](), [switzerland](), [technical]() ### AI overview An announcement for the September 17, 2026, Zephyr Project Meetup in Zurich, Switzerland, organized by Zoi TechCon GmbH. The event will include presentations on Zephyr modem support, embedded applications, developer tools, hardware, and practical implementation experiences. ### Source excerpt The Zephyr Project community is heading to Zurich, Switzerland! Join us on Thursday, September 17, 2026, for an in-person Zephyr Project Meetup organized by Zoi TechCon GmbH. The meetup will take place at Westhive Kitchen, Hardturmstrasse 161, 8005 Zürich, Switzerland. The event is open to developers, engineers, contributors, students, technology professionals, and anyone interested in open source and embedded systems. ## Use a local and open source code assistant DevFeed: [Use a local and open source code assistant]() Original publisher: [Read original article]() Author: Seth Kenlon Published: 2026-09-09T14:01:45Z Content type: tutorial Language: en Sources: [Red Hat](), [Red Hat Developer]() Topics: [ai-coding](), [Local AI](), [Open Source Models & Datasets](), [Large Language Model](), [Model Context Protocol](), [ide](), [Security, Privacy and Abuse Prevention](), [Command-line interface](), [Homebrew](), [Linux](), [macOS]() Tags: [ai-coding](), [ai-inference](), [artificial-intelligence](), [command-line](), [developer-tools](), [ide](), [linux](), [llm](), [local-ai](), [macos](), [model-context-protocol](), [ollama](), [open-source](), [privacy]() ### AI overview This Red Hat Developer article explains how to use OpenCode as a local, open source AI coding assistant. It covers OpenCode's terminal, desktop, and IDE extension interfaces, its use of the Model Context Protocol, installation requirements, and the need to configure an LLM. For privacy-conscious local development, it recommends open source local AI tools such as Ollama or OpenVINO. ### Source excerpt There's a lot of excitement about AI coding assistants, but many of the available options either aren't open source, or don't respect your data privacy by sending what you're working on to the cloud for processing. If you're looking for an alternative to closed AI, then you need an open coding assistant and an open source IDE. The post Use a local and open source code assistant appeared first on Red Hat Developer. ## K2 Horizon just shipped as six new fully open models -- developers aren't fully convinced DevFeed: [K2 Horizon just shipped as six new fully open models -- developers aren't fully convinced]() Original publisher: [Read original article]() Author: Adrian Bridgwater Published: 2026-09-09T12:00:00Z Content type: news Language: en Sources: [The New Stack]() Topics: [Open Source Models & Datasets](), [foundation-models](), [Training AI Models]() Tags: [ai](), [ai-models](), [developer-tools](), [foundation-models](), [open](), [open-source](), [release](), [training]() ### AI overview The Institute of Foundation Models introduced K2 Horizon, a six-model open-source foundation-model fleet. The article examines its promised release of training artifacts and notes that some data, code, checkpoints, and a final 32B model were not yet available at launch. ### Source excerpt Based in the Emirati capital, Abu Dhabi, the Institute of Foundation Models (IFM) introduced K2 Horizon last week. This group The post K2 Horizon just shipped as six new fully open models -- developers aren't fully convinced appeared first on The New Stack. ## Harness rebuilt its Git repository for nonstop AI agent traffic DevFeed: [Harness rebuilt its Git repository for nonstop AI agent traffic]() Original publisher: [Read original article]() Author: Frederic Lardinois Published: 2026-09-09T11:00:00Z Content type: news Language: en Sources: [The New Stack]() Topics: [Code review](), [AI-assisted coding](), [Pull Request](), [GitHub Copilot]() Tags: [ai](), [ai-agent](), [ai-agents](), [code](), [developer-tools](), [devops](), [git](), [github-copilot](), [podcast](), [pull-request](), [review](), [video]() ### AI overview Harness discusses rebuilding its Git repository and launching AI Code Review to address the review bottleneck created by increased pull-request volume from coding agents. ### Source excerpt As one of Harness's field CTOs, Martin Reynolds spends much of his time asking engineering leaders one question with no The post Harness rebuilt its Git repository for nonstop AI agent traffic appeared first on The New Stack. ## Optimize vLLM speculative decoding with FastMTP heads DevFeed: [Optimize vLLM speculative decoding with FastMTP heads]() Original publisher: [Read original article]() Author: Rahul Tuli Published: 2026-09-08T14:20:16Z Content type: article Language: en Sources: [Red Hat](), [Red Hat Developer]() Topics: [vllm](), [Inference](), [Large Language Model](), [Fine-tuning](), [model-deployment](), [deepseek](), [qwen]() Tags: [ai-inference](), [artificial-intelligence](), [data](), [deepseek](), [developer-tools](), [fine-tuning](), [hardware](), [inference](), [large-language-model](), [production](), [qwen](), [tokens](), [vllm]() ### AI overview This article explains how FastMTP-style fine-tuning improves vLLM speculative decoding. It describes using native multi-token prediction heads as speculators, adapting a single head for recursive multi-step drafting, extracting weights from verifier checkpoints, and producing vLLM-ready checkpoints without training from scratch. ### Source excerpt Autoregressive decoding makes large language model (LLM) inference memory-bandwidth bound: every token needs 1 full forward pass over billions of parameters, so the hardware spends most of its time moving weights rather than computing. MTP is a training objective: models like the DeepSeek and Qwen families learn to predict several future tokens at each position, which improves their data efficiency and quality. The post Optimize vLLM speculative decoding with FastMTP heads appeared first on Red Hat Developer. ## Review: Codex Tools for Improving Accessibility DevFeed: [Review: Codex Tools for Improving Accessibility]() Original publisher: [Read original article]() Author: Riley Collins Published: 2026-09-08T12:00:30Z Content type: opinion Language: en Sources: [Atomic Object]() Topics: [codex](), [Accessibility](), [Tooling]() Tags: [accessibility](), [codex](), [developer](), [developer-tools](), [review]() ### AI overview A software developer reviews Codex accessibility tools after breaking their wrist. The article focuses on dictation, describing how it transcribes speech into text for messages, emails, and prompts, while noting transcription errors and dictionary settings that can improve accuracy. ### Source excerpt Recently, I was met with a situation that you do not wish to run into as a software developer. I was playing a game of baseball, and due to a wild pitch, I broke my wrist. This resulted in being put into a cast (and for a moment a sling) that made it very difficult [...] The post Review: Codex Tools for Improving Accessibility appeared first on Atomic Spin. ## Audit Your Auth0 Tenant with Auth0 Agent Skills DevFeed: [Audit Your Auth0 Tenant with Auth0 Agent Skills]() Original publisher: [Read original article]() Author: Carlos Aguilar Published: 2026-09-08T00:00:00Z Content type: tutorial Language: en Sources: [Auth0 Blog]() Topics: [Auth0](), [Agent Skills](), [Security](), [configuration](), [AI Agent]() Tags: [agent-skills](), [ai-agent](), [ai-coding-agents](), [auth0](), [cli](), [configuration](), [developer-tools](), [security]() ### AI overview This article introduces Auth0 Agent Skills, including the Auth0 HealthCheck skill, which gives local AI coding agents scoped visibility into a live Auth0 tenant. It audits security and configuration, evaluates plan and use-case fit, generates reports and recommendations, and provides approved Auth0 CLI fixes without automatically applying changes. ### Source excerpt Audit your Auth0 tenant's security and configuration, assess capability and plan fit, and generate a personalized report with prioritized recommendations for B2C, B2B, or internal applications. ## The iOS Simulator Inside Cursor, Claude Code, and Codex DevFeed: [The iOS Simulator Inside Cursor, Claude Code, and Codex]() Original publisher: [Read original article]() Author: Antoine van der Lee Published: 2026-09-07T13:07:15Z Content type: opinion Language: en Sources: [SwiftLee]() Topics: [iOS](), [cursor](), [Claude Code](), [codex](), [App](), [Tooling]() Tags: [agent](), [agent-skills](), [ai-development](), [app-development](), [claude-code](), [codex](), [cursor](), [developer-tools](), [ios]() ### AI overview An opinion article examines how the iOS Simulator is becoming integrated into Cursor, Claude Code, and Codex as app development shifts toward orchestrating AI agents. It argues that visual testing, performance review, and critical human validation remain essential, and describes AI Agents for the iOS Simulator as a way to automate navigation and validation within the developer workflow. ### Source excerpt App development is changing, and the iOS Simulator is too, as it starts to appear in Cursor, Claude Code, and Codex in different ways. I've been developing apps since 2009 and the RocketSim developer tool since 2019, and I can tell we're reinventing ourselves like never before. I also started to wonder: what is the ... -> The post The iOS Simulator Inside Cursor, Claude Code, and Codex appeared first on SwiftLee. ## Red Hat Developer Hub software template authoring with rhdh-templates DevFeed: [Red Hat Developer Hub software template authoring with rhdh-templates]() Original publisher: [Read original article]() Author: Kashish Mittal Published: 2026-09-07T07:01:32Z Content type: tutorial Language: en Sources: [Red Hat Developer]() Topics: [Backstage](), [internal developer portal](), [Nunjucks](), [AI-assisted coding](), [YAML]() Tags: [ai-coding-agents](), [artificial-intelligence](), [backstage](), [developer-portal](), [developer-productivity](), [developer-tools](), [platform-engineering](), [quick-start](), [red-hat](), [software-templates](), [terminal](), [validation]() ### AI overview This tutorial introduces the rhdh-templates skill for building Red Hat Developer Hub and Backstage software templates with an AI coding assistant. It covers Nunjucks conventions, YAML schema checking, reference templates, local offline validation, repository templatization, and optional testing against a Red Hat Developer Hub instance. ### Source excerpt If you are a platform engineer or developer building Red Hat Developer Hub software templates, you know the friction of wrestling with Nunjucks syntax, guessing location.yaml placements, and discovering errors only after rendering in your developer portal. While AI coding agents handle generic YAML, they lack Red Hat Developer Hub and Backstage-specific conventions. The post Red Hat Developer Hub software template authoring with rhdh-templates appeared first on Red Hat Developer. ## GitHub Copilot app for Beginners: Run several agents at once DevFeed: [GitHub Copilot app for Beginners: Run several agents at once]() Original publisher: [Read original article]() Author: Kayla Cinnamon Published: 2026-09-03T16:00:00Z Content type: tutorial Language: en Sources: [GitHub Engineering]() Topics: [AI Chat]() Tags: [agents](), [ai](), [ai-agents](), [ai-ml](), [copilot](), [developer](), [developer-tools](), [development](), [git](), [github](), [github-copilot](), [github-copilot-app](), [github-copilot-app-for-beginners]() ### AI overview A beginner tutorial on using the GitHub Copilot app to run several AI agent sessions in parallel. It explains that sessions are isolated through separate Git worktrees and retain their own context, then demonstrates concurrent feature work, accessibility review, and testing. ### Source excerpt Learn how to run parallel agents in the GitHub Copilot app, and experience the moment it stops feeling scary and starts feeling powerful. The post GitHub Copilot app for Beginners: Run several agents at once appeared first on The GitHub Blog. [Next page]()