# software-development Software development is the computer science activity of creating, designing, deploying, and supporting software. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Building Codex with Tibo Sottiaux DevFeed: [Building Codex with Tibo Sottiaux]() Original publisher: [Read original article]() Author: Gergely Orosz Published: 2026-09-09T15:57:24Z Content type: article Language: en Sources: [The Pragmatic Engineer]() Topics: [codex](), [OpenAI](), [Development](), [software-development](), [Command-line interface](), [Git]() Tags: [agentic](), [agents](), [cli](), [codex](), [git](), [openai](), [rust](), [software-development]() ### AI overview In a Pragmatic Engineer Podcast episode, OpenAI's Tibo Sottiaux discusses how Codex was built and iterated, including the Rust-based open-source CLI, evolving harness and models, support for multiple model providers, and use across software development tasks such as code reviews, maintenance, and system rearchitecture. ### Source excerpt OpenAI's Tibo Sottiaux shares how Codex was built and how it's reshaping software development. ## What Is an Agile Coach? Key Responsibilities and Business Impact DevFeed: [What Is an Agile Coach? Key Responsibilities and Business Impact]() Original publisher: [Read original article]() Author: ANTONIA MCCULLOUGH, AGILE COACH @ TOPTAL Published: 2026-08-31T04:00:00Z Content type: article Language: en Sources: [Toptal Blog]() Topics: [Agile](), [Self-organizing Team](), [software-development]() Tags: [agile](), [business](), [collaboration](), [development](), [guide](), [leadership](), [management](), [project-management](), [scrum](), [software-development]() ### AI overview A guide to the Agile coach role, covering its responsibilities, organizational impact, differences from Scrum masters, consultants, and project managers, and the skills needed to support Agile practices across teams and departments. ### Source excerpt Navigate the evolving world of Agile coaching with this comprehensive guide. From responsibilities and skills to business impact, explore what the role looks like today and what it takes to succeed. ## Using netlab in Software Testing with Dinesh Dutt DevFeed: [Using netlab in Software Testing with Dinesh Dutt]() Original publisher: [Read original article]() Published: 2026-08-28T06:26:00Z Content type: article Language: en Sources: [ipSpace.net blog]() Topics: [Software Testing](), [networking](), [software-development](), [Ansible](), [Vagrant]() Tags: [ansible](), [development](), [netlab](), [network](), [networking](), [podcast](), [software](), [software-development](), [software-gone-wild](), [software-testing](), [testing]() ### AI overview This article introduces Episode 208 of Software Gone Wild, a conversation about using netlab to test network management software. It discusses how netlab helps Stardust Systems test new SuzieQ features, along with related history involving Vagrant and Ansible. ### Source excerpt I know a few software development companies use netlab to test their network management software (and contribute back to netlab - thanks a million!), and I always wanted to chat about that. As I have known Dinesh Dutt for ages, it wasn't hard to decide who to invite to have that chat with ;) As it turns out, it's dangerous to put Dinesh1 and me in the same (virtual) room - we were all over the place, from the ancient history of Vagrant in networking labs to the recent Ansible woes, but we did manage to cover how netlab helps Stardust Systems test new SuzieQ features. Read more ... ## Deque and Microsoft: Two decades of shaping the future of accessibility DevFeed: [Deque and Microsoft: Two decades of shaping the future of accessibility]() Original publisher: [Read original article]() Author: Preety Kumar Published: 2026-08-25T12:33:31Z Content type: article Language: en Sources: [Deque]() Topics: [Accessibility](), [Microsoft](), [software-development](), [Artificial Intelligence](), [AI Development](), [Human-Computer Interaction and Visualization]() Tags: [accessibility](), [accessibility-tools](), [ai](), [axe-core](), [company-news-and-updates](), [development](), [digital-experiences](), [human-computer-interaction](), [microsoft](), [partnership](), [software-development](), [web-accessibility]() ### AI overview Deque and Microsoft's nearly two-decade accessibility partnership is presented as a collaboration focused on embedding accessibility throughout software development. The article discusses how AI-assisted development, regulation, and digital accessibility are converging, and argues that accessibility should be considered from the first prompt. It also highlights the disability community's expertise in human-computer interaction as technically important for building more robust and reliable AI systems. ### Source excerpt What started nearly two decades ago as conversations between two people passionate about improving accessibility across Microsoft's digital experiences has grown into a lasting partnership built on shared learning, mutual respect, and a common belief that accessibility should be built into every stage of software development. The post Deque and Microsoft: Two decades of shaping the future of accessibility appeared first on Deque. ## Replit expands access to software creation with GPT-5.6 Luna DevFeed: [Replit expands access to software creation with GPT-5.6 Luna]() Original publisher: [Read original article]() Published: 2026-08-19T07:00:00Z Content type: article Language: en Sources: [OpenAI News]() Topics: [Repl.it](), [OpenAI](), [AI Development](), [coding](), [software-development]() Tags: [agent](), [applications](), [building](), [cost](), [development](), [gpt](), [inference](), [model](), [models](), [openai](), [performance](), [products](), [scale](), [software](), [software-development](), [startup](), [workflows]() ### AI overview Replit is introducing Free Mode, powered by GPT-5.6 Luna, to let users explore ideas and create working software without token costs. The article explains how improved model price performance and OpenAI price cuts support access at scale, while Replit Agent preserves project context and can route advanced tasks to GPT-5.6 Sol. ### Source excerpt Replit introduces Free Mode, powered by GPT-5.6 Luna, so anyone can turn ideas into working software without worrying about token costs. ## What Are Agentic Workflows? A Guide for Platform Teams DevFeed: [What Are Agentic Workflows? A Guide for Platform Teams]() Original publisher: [Read original article]() Author: Aaron Taylor Published: 2026-08-10T11:41:40Z Content type: tutorial Language: en Sources: [Developer Experience & Platform Engineering Blog | Port]() Topics: [AI Development](), [sdlc](), [software-development](), [Artificial Intelligence](), [Software Engineering]() Tags: [agentic](), [ai](), [developers](), [development](), [engineering](), [guide](), [sdlc](), [software-development](), [workflows]() ### AI overview This guide explains agentic workflows as repeatable, multi-stage processes that use autonomous agents within platform-enforced guardrails across the AI software development lifecycle. It contrasts adaptive agent behavior with fixed scripts and describes how deterministic platform scaffolding can make non-deterministic reasoning safer and more reliable. ### Source excerpt Learn what agentic workflows are and how platform teams build them across the AI software development lifecycle. ## How mature is your autonomous software development? DevFeed: [How mature is your autonomous software development?]() Original publisher: [Read original article]() Author: Matar Peles Published: 2026-08-10T11:32:44Z Content type: article Language: en Sources: [Developer Experience & Platform Engineering Blog | Port]() Topics: [AI Development](), [Software Engineering](), [software-development](), [pull-requests]() Tags: [ai](), [ai-agents](), [autonomous](), [code](), [developer](), [development](), [engineering](), [engineering-practice](), [governance](), [production](), [pull-request](), [software-development](), [validation]() ### AI overview This quiz assesses a team's maturity in autonomous software development across AI maturity, velocity, and governance. It describes how AI agents can independently consume context, write code, run validation tests, and open pull requests under platform-level policies, then places teams into five profiles ranging from largely manual work to fast, well-governed agent use. ### Source excerpt Take the quiz to find your stage in AI driven development, and see what's missing for your team to become AI native. ## How to find joy in modern software development DevFeed: [How to find joy in modern software development]() Original publisher: [Read original article]() Author: Stephane Moreau Published: 2026-07-28T11:12:04Z Content type: opinion Language: en Sources: [Blog for Engineering Managers]() Topics: [Development](), [software-development]() Tags: [development](), [software-development]() ### AI overview The article discusses finding joy in modern software development and cites research suggesting that writing your own draft first is effective. ### Source excerpt There's research behind why writing your own draft first works. ## Why platform engineering will eat the world DevFeed: [Why platform engineering will eat the world]() Original publisher: [Read original article]() Author: Kaspar von Grünberg Published: 2026-07-23T08:08:12Z Content type: opinion Language: en Sources: [Platform Engineering Blog]() Topics: [Platform Engineering](), [internal developer platform](), [Developer Platform](), [software-development](), [Software Engineering](), [Developer experience](), [site-reliability-engineering](), [SRE](), [observability](), [Security]() Tags: [developer-experience](), [developer-platform](), [development](), [engineering](), [internal-developer-platform](), [operations](), [platform](), [platform-engineering](), [security](), [software](), [software-development](), [sre]() ### AI overview The article argues that platform engineering is becoming the dominant model for large-scale software development. It describes platforms as structured digital production lines that reduce time to market, consolidate functions such as operations, databases, security, observability, and SRE, and support greater speed, scale, and security. ### Source excerpt Platform engineering is transforming software development, streamlining operations, and redefining roles. Embrace the shift or risk becoming obsolete. ## The 4 levels of agentic software development DevFeed: [The 4 levels of agentic software development]() Original publisher: [Read original article]() Author: Kaspar von Grünberg Published: 2026-07-23T05:40:01Z Content type: article Language: en Sources: [Platform Engineering Blog]() Topics: [AI Development](), [code productivity](), [software-development](), [cloud-infrastructure]() Tags: [agentic](), [ai](), [autonomous](), [development](), [platform](), [productivity](), [software-development]() ### AI overview The article presents four levels of agentic software development in the enterprise, defined by how much work humans must initiate and approve. It argues that productivity gains depend less on procuring advanced models than on restructuring the software production platform so agents can reliably access code, execute work in suitable environments, and participate in validation workflows. As organizations advance through the levels, humans shift from execution to review, orchestration, and system design. ### Source excerpt Discover the four levels of agentic software development. Learn how evolving your platform from human-in-the-loop to autonomous systems drives up to 30% throughput gains ## Being a platform engineer in 2026: Career reality check DevFeed: [Being a platform engineer in 2026: Career reality check]() Original publisher: [Read original article]() Author: Mallory Haigh Published: 2026-07-23T05:40:01Z Content type: article Language: en Sources: [Platform Engineering Blog]() Topics: [Platform Engineering](), [Developer experience](), [software-development](), [code productivity]() Tags: [2026](), [ai](), [article](), [career](), [developer](), [development](), [engineering](), [platform](), [platform-engineering](), [software-development]() ### AI overview This article presents platform engineering as an established industrial practice and examines the career reality of the role. It discusses platform-to-developer ratios, productivity and standardization gains, developer adoption as the leading challenge, specialization across platform roles, salary averages in North America and Europe, and the growing importance of AI literacy. ### Source excerpt Get the unvarnished reality of being a platform engineer in 2026. Data on average salary, the 6 specialized roles, AI competency, and the #1 challenge: developer adoption ## The Creator of Pandas on AI, Apache Arrow, and the Future of Software Engineering DevFeed: [The Creator of Pandas on AI, Apache Arrow, and the Future of Software Engineering]() Original publisher: [Read original article]() Author: Daniel Beach Published: 2026-07-08T12:16:09Z Content type: article Language: en Sources: [Data Engineering Central]() Topics: [pandas](), [data-engineering](), [Artificial Intelligence](), [DuckDB](), [data-platforms](), [software-development](), [future of software](), [Apache Spark](), [Hadoop](), [Open Source](), [parquet]() Tags: [ai](), [apache-arrow](), [arrow](), [data](), [data-engineering](), [data-platforms](), [duckdb](), [hadoop](), [large-language-models](), [open-source](), [pandas](), [parquet](), [software-development]() ### AI overview An interview with Wes McKinney covers the origins of pandas and Apache Arrow, the evolution of modern data engineering from Hadoop to lakehouse architectures, and the roles of tools such as Parquet, DuckDB, DataFusion, and Spark. McKinney also discusses how AI affects software development, arguing that it can improve experienced engineers' productivity but does not replace software engineering, architecture, or judgment. ### Source excerpt interview with Wes McKinney ## HP Inc. launches Frontier strategic partnership with OpenAI DevFeed: [HP Inc. launches Frontier strategic partnership with OpenAI]() Original publisher: [Read original article]() Published: 2026-06-28T17:00:00Z Content type: news Language: en Sources: [OpenAI News]() Topics: [Artificial Intelligence](), [OpenAI](), [AI Development](), [software-development](), [code productivity](), [ChatGPT](), [codex](), [Deployment](), [Security](), [telemetry]() Tags: [ai](), [apis](), [chatgpt](), [codex](), [company](), [deployment](), [enterprise](), [openai](), [operations](), [partnership](), [production](), [productivity](), [pull-requests](), [security](), [software-development](), [telemetry]() ### AI overview HP Inc. is scaling its strategic partnership with OpenAI Frontier after successful pilots. The partnership will deploy AI across customer and partner experiences, telemetry insights, employee productivity, software development, and broader enterprise operations. HP reports faster pull-request work, software-bug remediation, and daily use of OpenAI APIs, ChatGPT, and Codex, while Frontier provides a unified model for managing context, governance, deployment, and evaluation as these workflows move into production. ### Source excerpt HP Inc. scales its OpenAI Frontier partnership to deploy AI across customer experiences, software development, and enterprise operations. ## Open source maintainership in the age of AI DevFeed: [Open source maintainership in the age of AI]() Original publisher: [Read original article]() Author: CLA enforcement Published: 2026-06-26T18:00:00Z Content type: article Language: en Sources: [Kubernetes Blog]() Topics: [Kubernetes](), [AI-assisted coding](), [Open Source](), [Code quality](), [Pull Request](), [software-development](), [coding]() Tags: [agents](), [ai](), [ai-assisted-coding](), [code-quality](), [kubernetes](), [open-source](), [policy](), [pull-request](), [software-development]() ### AI overview This article explains how the Kubernetes community is adapting open-source maintainership to AI-assisted coding. It describes an AI policy requiring disclosure of AI use, preserving human accountability, maintaining code quality, and enforcing contributor license agreement checks and human participation in review. ### Source excerpt AI has really changed the game around software development. More people are leveraging AI than ever to contribute patches to projects they use. To me, this is a good thing as more folks will contribute patches rather than fork or not fix them. The main problem is that AI has made generating code fast but there has been very little improvement in maintaining code bases. In this post, we will highlight the ways the Kubernetes community is adapting to the world of AI assisted coding. The first step of this journey was to develop an AI policy. This seems mundane and bureaucratic but there were many PRs that derailed into discussions around AI usage. The AI policy helps steer the conversation around the project's stance on AI and provides a clear signal to contributors on how to use these tools responsibly. Kubernetes AI policy The Kubernetes project has established clear guidelines for AI-assisted contributions that balance innovation with accountability. These policies are designed to maintain code quality and ensure human oversight while acknowledging that AI tools can be valuable aids in the development process. Transparency first Contributors must disclose when AI tools have been used to assist with a pull request. A simple statement in the PR description such as "This PR was written in part with the assistance of generative AI" is sufficient. This transparency helps reviewers understand the context and apply appropriate scrutiny. Human accountability While AI tools can assist, the human contributor remains fully responsible for every change. The policy explicitly prohibits: Listing AI as a co-author on commits Using AI co-signing on commits Adding trailers like "assisted-by" or "co-developed" that attribute work to AI This isn't about diminishing AI's role as a tool--it's about maintaining clear accountability. If something breaks, there needs to be a human who understands why and can fix it. CLA enforcement for co-authors The CNCF provides a tool for verifying the ## What nearly 10,000 developer environments reveal about agentic development risk DevFeed: [What nearly 10,000 developer environments reveal about agentic development risk]() Original publisher: [Read original article]() Author: Ricardo Miguel Silva Published: 2026-06-23T04:00:00Z Content type: article Language: en Sources: [Blog RSS Feed | Snyk]() Topics: [AI-assisted coding](), [supply-chain-security](), [Application Security](), [Model Context Protocol](), [Agent Skills](), [prompt injection](), [Security](), [software-development](), [Tooling]() Tags: [agentic](), [agents](), [ai](), [ai-coding](), [application-security](), [article](), [awareness](), [claude](), [code](), [cursor](), [developer](), [developers](), [development](), [devops](), [devsecops](), [enablement](), [interest](), [prompt-injection](), [secrets](), [security](), [security-labs](), [skills](), [snyk-code](), [snyk-platform](), [snyk-security-intel](), [software-development](), [supply-chain](), [supply-chain-security](), [systems](), [tool](), [tooling](), [tools](), [vs-code]() ### AI overview Snyk analyzed nearly 10,000 developer environments and found that agentic development is introducing a new software supply chain layer. The article reports widespread use of multiple AI coding environments, MCP servers, and agent skills, along with confirmed prompt injection findings and security exposure that AppSec teams need to govern. ### Source excerpt AI coding agents are adding a new layer to the software supply chain. Learn what Snyk found in nearly 10,000 developer environments and how to secure the tools, instructions, and permissions behind agentic development. ## BBVA puts AI at the core of banking with OpenAI DevFeed: [BBVA puts AI at the core of banking with OpenAI]() Original publisher: [Read original article]() Published: 2026-06-11T00:00:00Z Content type: article Language: en Sources: [OpenAI News]() Topics: [Artificial Intelligence](), [ChatGPT](), [OpenAI](), [AI Strategy](), [software-development](), [code productivity]() Tags: [ai](), [banking](), [chatgpt](), [enterprise](), [financial-services](), [global](), [openai](), [productivity](), [software-development]() ### AI overview BBVA describes a strategic alliance with OpenAI to scale ChatGPT Enterprise and integrate artificial intelligence across banking, including customer experiences, operations, risk analysis, software development, and employee productivity. The article reports 100,000 employees using ChatGPT Enterprise globally, increased monthly active usage, time savings, and efficiency gains in selected workflows. ### Source excerpt Learn how BBVA scaled ChatGPT Enterprise to 100,000 employees and partnered with OpenAI to accelerate AI-powered banking transformation worldwide. ## Codex for every role, tool, and workflow DevFeed: [Codex for every role, tool, and workflow]() Original publisher: [Read original article]() Published: 2026-06-02T09:00:00Z Content type: release Language: en Sources: [OpenAI News]() Topics: [codex](), [Artificial Intelligence](), [software-development](), [data analytics](), [dashboards](), [Incident response](), [Machine learning]() Tags: [ai](), [codex](), [dashboards](), [data-analytics](), [developers](), [incident-response](), [machine-learning](), [product](), [software-development](), [workflow](), [workflows]() ### AI overview OpenAI introduces role-specific Codex plugins, annotations, and a preview of shareable interactive websites and apps. The plugins connect Codex to existing tools and workflows for analytics, creative production, sales, and other knowledge-work roles, including data exploration, dashboards, campaign assets, customer-context workflows, and machine-learning infrastructure experiments. ### Source excerpt Discover new Codex plugins, sites, and annotations that help analysts, marketers, designers, investors, and other teams get more done with AI. ## Introducing Nova, our internal platform for coding agents DevFeed: [Introducing Nova, our internal platform for coding agents]() Original publisher: [Read original article]() Author: Yasmin McDowell,Lawrence Good,Ilya Yakovlev,Andrew Cheung,Binoy Dash,Simran Jumani,Dmitriy Meyerzon,Mark Breitenbach,Ishan Mishra,Kazuaki Okumura,Mike White,Kevin Altschuler Published: 2026-05-21T16:00:00Z Content type: article Language: en Sources: [Dropbox Tech Blog]() Topics: [AI-assisted coding](), [Nova](), [AI Development](), [software-development](), [Software Engineering](), [cloud-infrastructure](), [debugging](), [test-coverage]() Tags: [agents](), [ai](), [ai-agents](), [cloud](), [coding](), [debugging](), [developer](), [developer-productivity](), [developer-tools](), [developer-velocity](), [machine-learning](), [nova](), [platform](), [software-development](), [test-coverage](), [workflows]() ### AI overview Dropbox introduces Nova, an internal cloud platform for running coding agents. The platform supports parallel coding sessions and automated workflows across the software development lifecycle, including debugging, dependency updates, test-coverage improvements, and flaky-test fixes. ### Source excerpt Nova lets engineers run multiple coding sessions in parallel and lets internal systems use AI agents as part of automated workflows. ## Agentic software development hypothesis DevFeed: [Agentic software development hypothesis]() Original publisher: [Read original article]() Author: Marc Brooker Published: 2026-05-20T00:00:00Z Content type: opinion Language: en Sources: [Marc Brooker's Blog](), [Marc Brooker's Blog]() Topics: [coding](), [software-development](), [AI Development]() Tags: [agentic](), [agentic-ai](), [coding](), [development](), [software-development]() ### AI overview The article proposes an agentic software development hypothesis. It argues that coding tasks become trivial when they have a complete specification, a deterministic oracle, or, in its strongest form, a non-adversarial oracle. It also raises objections that meaningful tasks rarely have complete specifications and that most oracles are not deterministic. ### Source excerpt Agentic software development hypothesis This is the quality content you come here for, right? Agentic Software Development Hypothesis: Weak form: Any coding task for which a complete specification is available will become trivial. Strong form: Any coding task for which a deterministic oracle is available will become trivial. First objection: Few meaningful tasks have a complete specification. Second objection: Most oracles aren't deterministic. Strongest form: Any coding task for which a non-adversarial (pythic?) oracle exists will become trivial. ## Sea's View on the Future of Agentic Software Development with Codex DevFeed: [Sea's View on the Future of Agentic Software Development with Codex]() Original publisher: [Read original article]() Published: 2026-05-14T20:30:00Z Content type: article Language: en Sources: [OpenAI News]() Topics: [codex](), [software-development](), [AI Development](), [Microservice](), [Architecture & Design](), [code productivity](), [cursor]() Tags: [agentic](), [ai](), [ai-agents](), [ai-coding](), [architecture](), [codex](), [development](), [microservices](), [productivity](), [software-development](), [southeast-asia](), [speed](), [workflows]() ### AI overview Sea is rolling out Codex across its developer organisation, viewing agentic AI coding as a structural shift in how engineering teams manage complexity and build software at scale. David Chen describes Codex's contextual understanding of large codebases, its usefulness in microservices environments, and its impact on developer productivity, experimentation speed, and higher-level architectural work. ### Source excerpt Sea Limited's CPO explains why the company is deploying Codex across engineering teams to accelerate AI-native software development in Asia. ## Simplex rethinks software development with Codex DevFeed: [Simplex rethinks software development with Codex]() Original publisher: [Read original article]() Published: 2026-05-07T00:00:00Z Content type: article Language: en Sources: [OpenAI News]() Topics: [Software](), [software-development](), [codex](), [ChatGPT](), [Artificial Intelligence](), [AI Development](), [code productivity](), [Generative AI](), [AI-assisted coding](), [Code generation](), [Integration testing](), [Command-line interface]() Tags: [ai](), [chatgpt](), [cli](), [code](), [code-generation](), [codex](), [coding](), [deployment](), [developers](), [development](), [generative-ai](), [integration](), [productivity](), [python](), [software-development]() ### AI overview Simplex uses ChatGPT Enterprise and Codex to improve software development productivity, reporting reduced time for design, development, and internal integration testing. ### Source excerpt Simplex boosts software development with ChatGPT Enterprise and Codex, reducing design, build, and testing time while scaling AI-driven workflows. ## Codex for (almost) everything DevFeed: [Codex for (almost) everything]() Original publisher: [Read original article]() Published: 2026-04-16T10:00:00Z Content type: release Language: en Sources: [OpenAI News]() Topics: [codex](), [computer-use](), [browser](), [Front end](), [Game Development](), [API](), [Model Context Protocol (MCP)](), [ssh](), [Code](), [software-development]() Tags: [agent](), [agents](), [api](), [applications](), [codex](), [computer-use](), [frontend](), [game-development](), [github](), [images](), [macos](), [mcp](), [product](), [ssh](), [tools](), [update](), [windows]() ### AI overview OpenAI describes a major Codex update for macOS and Windows that adds computer use, in-app browsing, image generation, memory, plugins, parallel agents, remote SSH development, and richer support for developer workflows. ### Source excerpt The updated Codex app for macOS and Windows adds computer use, in-app browsing, image generation, memory, and plugins to accelerate developer workflows. ## OpenAI to acquire Astral DevFeed: [OpenAI to acquire Astral]() Original publisher: [Read original article]() Published: 2026-03-19T00:00:00Z Content type: news Language: en Sources: [OpenAI News]() Topics: [codex](), [OpenAI](), [Python](), [Tooling](), [Open Source](), [software-development](), [AI Development](), [Data Science](), [Back end]() Tags: [ai-agents](), [code](), [codex](), [company](), [developer-tools](), [developers](), [open-source](), [openai](), [python](), [software-development]() ### AI overview OpenAI announces plans to acquire Astral and bring its open source Python tools--uv, Ruff, and ty--into the Codex ecosystem. The combination is intended to support Python development workflows and expand Codex's role across planning, coding, tool execution, verification, and software maintenance. ### Source excerpt Accelerates Codex growth to power the next generation of Python developer tools ## Introducing the Codex app DevFeed: [Introducing the Codex app]() Original publisher: [Read original article]() Published: 2026-02-02T00:00:00Z Content type: article Language: en Sources: [OpenAI News]() Topics: [codex](), [ai-coding](), [code productivity](), [software-development](), [coding](), [macOS](), [Command-line interface](), [Git](), [Extension](), [Cloud]() Tags: [agents](), [ai-coding](), [app](), [cli](), [cloud](), [codex](), [coding](), [development](), [extension](), [git](), [macos](), [product](), [software-development](), [workflows]() ### AI overview OpenAI introduces the Codex app for macOS, a desktop command center for managing multiple coding agents, running tasks in parallel, reviewing changes, and coordinating long-running software projects. The app supports isolated worktrees and carries over session history and configuration from the Codex CLI and IDE extension. A March 4, 2026 update says the app is also available on Windows. ### Source excerpt Introducing the Codex app for macOS--a command center for AI coding and software development with multiple agents, parallel workflows, and long-running tasks. [Next page]()