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· Agent active · Updated Sep 18, 2026 · 300+ sources monitored · Scored by Claude · Fable 5

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AI Coding News

The tools that write and ship code — coding agents, copilots, IDEs, and the developer platforms changing how software gets built.

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OpenAI cut GPT-5.6 Luna prices by 80% after its own model reduced serving cost by 20%, making cheap autonomy easier to start and harder to budget

OpenAI cut GPT-5.6 Luna API prices by 80% to $0.20 per million input tokens and $1.20 per million output, while Terra fell 20% to $2 and $12. Fast mode gives Sol up to 2.5 times Standard speed at twice the price. OpenAI says Sol-assisted kernel work lowered serving cost by 20% and improved token-generation efficiency by more than 15%, while Luna delivers year-old frontier performance at roughly six cents per task-dollar and nearly nine times the speed. The edition connects cheaper models to Amazon's reported $1.8m, 860%-over-budget coding task, Gemini Robotics 2 whole-body control, Nscale's Anyscale acquisition and Okta's roughly $200m Permiso deal.

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DEVGitHub Trending19h ago

bobeff/open-source-games: A list of open source games.

A list of open source games.

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DEVHacker News6h ago

Saving another 100TB of RAM

326 points, 62 comments on HN

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DEVHacker News6h ago

The first new cat species discovered in 100 years

254 points, 90 comments on HN

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DEVHacker News19h ago

I don't like passkeys

559 points, 547 comments on HN

DEVGitHub Trending2d ago

cloudflare/security-audit-skill: A coding-agent skill for multi-phase security audits with independently verified, machine-readable findings

A coding-agent skill for multi-phase security audits with independently verified, machine-readable findings

DEVGitHub Trending2d ago

abue-ammar/tinycast: Tinycast — a tiny, fully native macOS launcher, hotkeys, and clipboard history.

Tinycast — a tiny, fully native macOS launcher, hotkeys, and clipboard history.

AIThe Register15h ago

Anthropic decides to support OpenAI's markdown instructions spec

Anthropic on Friday surprised the developer community by supporting rival OpenAI's mechanism for passing marching orders to AI agents. This makes life easier for folks who use both platforms. "We're adding support for AGENTS.md to Claude Code," said Claude Code engineer Thariq Shihipar in a social media post. "Starting today in version 2.1.277, if there is no CLAUDE.md in a folder, Claude will check for and use AGENTS.md." Claude Code users can toggle this behavior, he said, with the /config command. Until now, developers who use Claude Code alongside OpenAI Codex or other non-Anthropic tools have had to maintain two sets of Markdown instructions for their AI agents: CLAUDE.md and AGENTS.md, not to mention project-specific versions of these files. These documents get read by coding agents with every request. They outline expected behavior, preferred tool usage, coding conventions, and so on. They lay the foundation of the agent's context. The two formats are similar but not identical – CLAUDE.md may contain Claude-specific instructions while AGENTS.md is intended to be tool agnostic. Because these documents can change, those working with AI agents have implemented various workarounds, like creating symlinks to keep CLAUDE.md and AGENTS.md in sync. Last year, OpenAI contributed AGENTS.md to the Agentic AI Foundation, under the Linux Foundation, in a bid to build support for its standard. As of December 2025, more than 60,000 open source projects implemented AGENTS.md. The popularity of Claude Code has given Anthropic the latitude to insist on its own standards, but it appears the company has decided there's nothing to be gained from continued specification separatism. For those who use AI coding tools, this detente is an event of modest significance. Many widely followed software developers applauded the decision in social media posts. Thibault Sottiaux, OpenAI's head of core product, remarked, "Yay! This is the way. Come to the light," to which Shihipar responded wi

COMPUTEThe Register16h ago

Microsoft agentically ports Copilot runtime to Rust for $120K

The software engine underpinning GitHub Copilot and a growing number of Microsoft products is now written entirely in Rust, with AI agents doing most of the porting work. The migration cost about $120,000 in AI token usage plus about three weeks of a developer's time. However, managers also had to grapple with a few dozen regressions in the resulting code, pointing to AI’s ongoing challenges in understanding Rust. The effort updated the runtime module-by-module until the job was completed, spanning over 135 releases across a 14.5-week time period. Roughly 1.3 port pull requests were opened per day. Overall, agents converted 430,000 lines of TypeScript into 800,000 lines of production Rust. To keep the port as simple as possible, the port only replaced TypeScript modules on a case-by-case basis. It didn’t look to optimize the structure of the runtime itself. That work is next. And Rust, known for its lean performance, did not disappoint. One benchmark measured how quickly the runtime could complete 1,000 one-turn session lifecycles, using a shared client and 100 concurrent pipelines. The original TypeScript implementation completed 7.55 of those lifecycles per second, while Rust running in-process managed 120 per second - representing a 15.9x speedup on that particular workload. In terms of memory, a 10-client batch of agents consumed 1,383 MB with TypeScript while the Rust rewrite consumed only 126 MB serving the same swarm. Within Rust, the work remained in-process instead of spawning external background processes for completion, a requirement for TypeScript. Copilot from VS Code to Microsoft Office At first glance, most users may not know how pervasive the Copilot runtime is. It backs the GitHub Copilot command-line interface (CLI), the Copilot app, the SDK and the GitHub Copilot cloud agent. It shows up in VS Code, Visual Studio, Excel, Outlook, PowerPoint, and innumerable other Microsoft cloud services. Originally, the runtime was written in TypeScript and used

DEVThe Verge16h ago

OpenAI and Microsoft knew they were starting a ‘doom loop’ for the web

Recently unsealed court documents in the New York Times' case against OpenAI and Microsoft are pretty damning. The companies' own documentation warned that it was starting a "doom loop" that would damage the web, characterized its scraping of data to train its models as the "largest theft of labor in human history," and that it […]

LAUNCHESThe Register18h ago

Claude Code revamps projects so you can work and pay in parallel

Claude Code customers have a new reason to give Anthropic more of their money. The tool now allows you to launch multiple sessions related to a single project, burning through more resources and cash at once. Appropriately enough, the feature is called projects and can be accessed from the Claude.ai sidebar. It's not the old version of projects, capitalized in some reference material, which allowed for the creation of self-contained workspaces with separate chat histories and knowledge bases. The new implementation is technically in beta, though that term hardly means anything anymore amid the constant code iteration. Anthropic describes projects as a way to let Claude manage multiple related tasks. "Claude scopes the request, delegates the work, coordinates parallel threads, reviews the outputs, and assembles the finished result," the company explains in a blog post. "You can steer progress throughout, even from your phone, and it keeps working after you step away from your computer." It's the sort of capability that might be useful if you are prompting the model to begin a large coding project and you want to get several essential components like authorization, databases, caching, and containers up and running at the same time. Essentially, a project spins up each task as its own Claude Code cloud session thread that works on its own git branch and its own copy of the relevant repo. A coordinator directs the threads; if they touch the same code, overlaps surface as merge conflicts like those in other pull requests. And each thread may get broken down into distinct tasks handled by subagents within that session. Claude Code now offers five different ways to run multiple tasks at the same time. Subagents work within a session, though each with its own context. Agent View provides a single screen interface for overseeing several independent tasks. Agent Teams allows coordinating multiple Claude Code instances that can share information and communicate. Dynamic Workfl

COMPUTELatent SpaceYesterday

[AINews] not much happened today

if you see this, it’s beacuse you’re a real fan. AI News for 9/16/2026-9/17/2026. We checked 12 subreddits, 544 Twitters and no further Discords. AINews’ website lets you search all past issues. As a reminder, AINews is now a section of Latent Space . You can opt in/out of email frequencies! AI Twitter Recap Agent Runtimes, Long-Horizon Workflows, and the Rise of Coordinator UIs Claude Code Projects pushes “one conversation, many cloud threads” into product : Anthropic rolled out Projects in Claude Code , where a single conversation can spawn parallel cloud sessions, pass context between threads, and continue running after the user leaves. Follow-up posts clarify availability and that threads currently run in the cloud, with local workflows coming . Internally, Anthropic staff describe it as a higher-level coordinator abstraction with evolving long-lived memory and aggregated status updates via a single controlling Claude ( Cat Wu , MikeyK ). This is one of the clearer productizations yet of multi-session orchestration instead of just “chat + tools.” Google and others are standardizing agent infrastructure around managed harnesses, files, and secrets : Google updated Gemini managed agents with a new Antigravity-based harness plus two notably practical APIs: a Credentials API that keeps secrets out of model context via placeholders and trusted-domain egress proxying, and a Files API for artifact movement and persistent sandboxes. The same release claims up to 30% lower costs and 22% higher cache hits . Meanwhile, Perplexity’s Computer , Base44’s phone-calling Superagent , Google Labs’ family-oriented CC agent , and Meta’s desktop Muse for Mac all point in the same direction: persistent agents with scoped permissions, user-specific context, and asynchronous execution as the default UX rather than an add-on. Jev and “System One” Classification Models as a New Agent Primitive TypeSafe’s Jev dominated discussion as a fast, cheap constrained-output primitive : The cleares

DEVArs TechnicaYesterday

RFK Jr. names 8 new members to influential preventive medicine task force

Anti-vaccine Health Secretary Robert F. Kennedy Jr. announced the names of eight new members of a 16-person federal task force intended to make scientifically independent, evidence-based recommendations on an array of preventive medicine services for Americans—from depression screening to statin use, colonoscopies, and mammograms. Recommendations from the panel—the US Preventive Services Task Force (USPSTF)—don't simply provide guidance for Americans; they also determine access. The USPSTF is supposed to use a rigorous, transparent framework for evaluating evidence and sets graded recommendations on an A to D scale. Health insurance providers are required to cover, at no cost, all preventive services that are given recommendations given an A or B grade. Kennedy has sidelined the USPSTF for more than a year, canceling its meetings and refusing to appoint new members as terms expired and members left. In May, Kennedy also fired two leaders , sparking outcry and exacerbating fears that he would corrupt the nonpartisan, independent panel by stacking it with unqualified, ideological-allies—which he did with an influence vaccine advisory committee at the Centers for Disease Control and Prevention. Read full article Comments

COMPUTEArs TechnicaYesterday

Microsoft exec called AI scraping the “largest theft of labor in human history”

For years, Microsoft and OpenAI have fought to keep certain information out of the public eye in their fight with news organizations that have accused the AI firms of teaming up to violate copyright laws by stealing tons of news content to train AI. However, now the details that should never have been marked confidential are starting to leak. In a motion for summary judgment that was unsealed Thursday from news plaintiffs led by The New York Times, internal documents are exposed that news groups alleged show exactly how Microsoft and OpenAI viewed the threat to news before unleashing new AI products like ChatGPT and Copilot. Perhaps most explosively, Microsoft Director of Applied Science Brent Hecht repeatedly warned in documents that scraping news for AI training was “an astonishing theft of unprecedented proportions,” calling it perhaps the “largest theft of labor in human history,” news orgs said. In another document, Hecht contradicted Microsoft and OpenAI’s argument that training AI on news content is fair use, suggesting that the plan to widely scrape news made “a complete mockery of the idea of ‘fair use.’” Read full article Comments

LAUNCHESThe VergeYesterday

Claude Code relaunches Projects to manage multiple AI agents in the cloud

The revamped projects feature in Claude Code allows users to run multiple agents under the same roof, with a shared memory, goals, and library of files and artifacts. Similar to Grok Bot and other tools that manage groups of AI agents, each project has "threads" running different tasks in parallel, with a "coordinator" directing everything: […]

LAUNCHESLatent Space2d ago

[AINews] Reality Checks on AI News (Yegge shuts down Gas Town, Databricks’ +60% Astra cost)

Steve Yegge has been very popular and loud in his gung ho adoption of tokenmaxxing, so it is sobering to see him now shut down Gas Town and admit that despite spending many thousands a month on coding agent subscriptions… he only ever built Gas Town with it: danluu.com/ai-coding/ , I mentioned not finding these ultra vibed orchestrators useful b/c reliability (w.r.t. completing tasks). Turns out the author of the most famous one had the same issue. ","username":"danluu","name":"Dan Luu","profile_image_url":"https://pbs.substack.com/profile_images/1472713753464500227/HJQvY70g_normal.png","date":"2026-09-15T09:59:03.000Z","photos":[{"img_url":"https://pbs.substack.com/media/HSP7dfeaEAAQZs_.png","link_url":"https://t.co/T0Paf6Mnpt"}],"quoted_tweet":{},"reply_count":35,"retweet_count":51,"like_count":832,"impression_count":87619,"expanded_url":null,"video_url":null,"video_preview_media_key":null,"belowTheFold":false}" data-component-name="Twitter2ToDOM"> Similarly, while Astra is often reportedly cheaper than Sol in terms of Cost per Task by many benchmarks (due to token efficiency), it is not universally cheaper everywhere, as Databricks is now reporting +60% overall spend when their AI Engineers switch to Astra. AI News for 9/15/2026-9/16/2026. We checked 12 subreddits, 544 Twitters and no further Discords. AINews’ website lets you search all past issues. As a reminder, AINews is now a section of Latent Space . You can opt in/out of email frequencies! AI Twitter Recap Top tweets (by engagement) OpenAI’s misalignment disclosure launch : @OpenAI published a formal framework for tracking, investigating, and disclosing model misalignment incidents, plus six case reports from the last six months. The move was widely read as a substantive response to transparency criticism following recent agent incidents. MiMo-V2.6 live RL dashboard : @_LuoFuli announced Xiaomi’s MiMo-V2.6 RL run with unusually high operational transparency: live training stats, harness mix, reward details

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