#Coding

AIWe added planning mode in 2025 and deleted it from the product earlier this year. Users wanted a way to explicitly plan with the model so we added this opt in slash command. Understood that the timing couldn’t be worse since it appears like we’re adding this for the first time. Have a great weekend folks, lots more to come in the coming weeks!

AIThe author ran a full-rewrite-scale task with Claude Opus 5.5 for over six hours, reading every thinking summary along the way. They call it stable and strong, rating it top tier across communication, comprehension, aesthetics, development, and long-horizon agent work, and wish OpenAI would catch up.

AIMeituan LongCat has made its LongCat-2.5-Preview model free to try on OpenCode for two weeks. The offer includes a 1M context window, multimodal support, and zero data retention.

AIAlexander Doria reports that the released set is a smaller selection of 989 environments for RL training a 9B distilled model, not the full MiMo. Rewards are not self-contained: the general part requires setting up a judge, and webdev relies on its own grader service and VLM. The most important content is in the general/envs directory and Docker setup rather than the Hugging Face dataset, offering a solid mix of real and simulated documents.

AIAnthropic's Lydia Hallie says the prompt-audit command is now also available as /checkup, replacing the API-specific name that suggested it only worked with the API. The command checks CLAUDE.md, skills, and agents for instructions the model no longer needs, and it has always worked on Claude Code setups.

AIClaude Code will now look for a graceful stopping point when a user hits the 5-hour limit mid-task, rather than cutting off mid-edit. It draws a small, fixed allowance from the weekly limit to finish what it can. The update responds to a frequently requested change.

AICanvases in the GitHub Copilot app are customizable interfaces that you and the agent share, such as kanban boards, dashboards, or checklists. You create one by running /create-canvas and describing the workflow, what you can do in the interface, and what the agent can do. Changes made by either you or the agent appear immediately in the shared canvas, and completed canvases can be saved as reusable extensions.

AIMustafa Suleyman praised the Copilot team's work and promoted a new feature called Autopilot, directing readers to check it out. The post provides no details about Autopilot's functionality, capabilities, or availability. Background from a linked article references Home, Code, and Autopilot sections but does not establish specifics.

AIAnthropic's Noah Zweben shared a claymation video showing Claude Code's /remote-control feature, now made with Opus 5.5 after an earlier Opus 4.6 version. The feature, which lets users control Claude Code remotely, is rolling out to Pro users at 10% and ramping, with Team and Enterprise support coming later.

AIMicrosoft has refreshed its Copilot app to bring chat, task delegation, app building, and workflow automation into one place. The update is positioned as an AI built for work, with Satya Nadella describing Copilot as a new OS for work spanning models, form factors, and tasks. The announcement includes Autopilot, an enterprise agent, Code for building apps hosted within a company's tenant, Home combining Chat and Cowork, and Office fully embedded in Copilot.

AIMicrosoft CEO Satya Nadella announced what he called the biggest Copilot update to date, positioning Copilot as a new operating system for work. The update bundles Autopilot, a proactive long-running enterprise agent; Code, for building apps hosted inside a company's tenant; Home, combining Chat and Cowork; and Office, now fully embedded in Copilot. Copilot can also be invoked in Teams, and a new proactive experience called Today surfaces key information from across M365 without a prompt.

AIThis time I'm stunned: a product promo video made directly with Opus 5.5, with no AI video, AI music, or AI image generation models connected from start to finish, outputting both 16:9 and 9:16 versions in one go... The full prompt is posted directly below 👇 (1/3)

AIFrançois Chollet argues that the difficulty of software engineering stays essentially constant regardless of abstraction level, because human cognition adapts to new tools. He says tools are affordances rather than magic wands that eliminate work, and that great software engineering remains immensely challenging despite changed workflows. Simon Willison's background post similarly argues that coding agents make software engineering harder, requiring extraordinary discipline and knowledge.

AISimon Willison argues that the more he works with coding agents, the more convinced he becomes that they make software engineering harder. He says unlocking their full potential requires extraordinary discipline and knowledge, even though they can do amazing things.

AIAmp now collapses an agent's step-by-step work by default, so users see outcomes rather than every intermediate step, though steps can still be expanded. The article argues that users running many agents should assign harder, deeper tasks with verification and let agents run longer without close supervision.

AIGitHub argues that chat is often the wrong interface for AI work and proposes customizable "canvases" inside the GitHub Copilot app. Canvases are full-stack applications running without browser chrome that can communicate bi-directionally with the Copilot agent and execute code locally. The post cites examples including a Connect 4 game, a Winget package manager UI, and a SQLite database interface.

AIHugging Face released SmolDataEnvs, more than 5,000 open-source RL environments aimed at real-world data science tasks. They target the gap between simple educational games and frontier-level benchmarks, especially for improving coding in models under 10B parameters. The environments are designed as a testbed for developing new RL methods such as GRPO or OPSD.

AIGitHub Security Lab describes the Fuzzing Taskflow, an LLM agent pipeline that identifies entrypoints, writes harnesses, runs AFL++, reads coverage reports, and triages crashes for C/C++ repositories. The agent makes decisions while MCP tools handle execution, and state is stored in a SQLite database. The post also warns that the taskflow runs AFL and build commands directly on the host, so it should be used only in disposable environments without elevated privileges.

Why it matters: The post explains how an LLM agent automates fuzzing steps like harness writing, coverage gap chasing, and crash triage, with a runnable workflow and design tradeoffs.

AIReplit's Muse can now make apps, according to Replit CEO Amjad Masad's post on X. The post gives no further details on features, availability, or pricing.

AIAmp users can now share a runner with their workspace by starting it with --share, letting everyone spawn threads on that machine from ampcode.com. Shared runners appear under Shared Runners in the picker, and --amp-env gives them workspace and project Secrets & Env Vars but never personal ones. Amp warns that collaborators run code as the owner with their files and credentials, so sharing should be limited to trusted people, and workspace admins can disable runner sharing in Member Settings.

AIThe Amp macOS app now starts a runner automatically, so threads can run on your Mac without keeping amp --no-tui open in a terminal. Users add folders or projects under Runner in App Settings, then select "This Mac" when starting threads from ampcode.com, a phone, or Puck. A Keep This Mac Awake option prevents sleep while the runner is on and the Mac is plugged in, though the screen still turns off and locks.

AIClaude builds a model of a program's most complex parts, such as state machines or race-prone code, and searches that model for counterexamples that signal suspected bugs. It then reproduces those bugs and fixes them in the code. The post clarifies that the whole codebase is not formally verified, only the riskiest sections are modeled and checked.

AIClaude Code cloud sessions are now generally available, letting work continue while a laptop is closed. Existing Pro subscribers get a one-time $100 credit and Max subscribers get $250 to try them.

AICursor has made Rollouts and Security Reviewer available today on Teams and Enterprise plans. The company is including Rollouts usage credits for the next 10 days so customers can try it on real changes. More details are available in Cursor's blog post.

AICursor's Security Reviewer now completes reviews in 3.8 minutes on average, down from 4.8 minutes, a 21% speedup. The update was released alongside Rollouts.

AICursor has launched Rollouts, which write a monitoring plan and watch changes as they deploy. The post says deployments are verified so regressions can be caught before users see them.

AIAnthropic published a write-up on how it made the Claude frontend faster using agentic optimization techniques. The post coincides with Max Woolf's separate blog post showing that prompting agents can make code faster than current state-of-the-art libraries, with prompts and benchmark results included.

AIFelix Rieseberg, who works on Claude at Anthropic, says he feels joy when people use it to create things he did not think possible. The quoted post from @The_Alex reports early access to Opus 5.5 and shares several creations, including a Dark Souls project.

AICursor announced improvements to the token efficiency of its agent harness, linking to a blog post with the details. The post itself offers no figures or specifics beyond that headline claim.

AIHugging Face has released a new JavaScript package, huggingface/lerobot, that lets developers read LeRobot datasets on the Hub directly in the browser without downloading them. The post says coding agents can use it to build custom dataset viewers quickly, with an example UI implemented in about 600 lines of JS.

AIHowie.serious says Opus 5.5 with only medium thinking enabled produced a video of impressive quality, suggesting a grim outlook for human video work. The quoted post says the model made a promo video for the Applore app in a few minutes, and the author calls the result remarkable.

AI估计下一步就是：游戏还没写多少，给自己做的小工具先攒了一堆😂 Translation: Next step, I guess: not much game written yet, but a pile of little tools I built for myself first 😂

AIMike Knoop argues that formal verification is becoming feasible and is important for security. He adds that it does not automatically build human understanding, which he calls an even bigger alignment problem. The post is framed as a reply to Boris Cherny's report that Claude Opus 5.5 helped formally verify the Claude Agent SDK in Lean, producing 16 bug-fix PRs.

AIAnthropic's Cat Wu points users to ways to try Opus 5.5 and Claude Tag in Slack. The main post carries no further details on access, features, or availability.

AICursor is launching two bots, Rollouts and Security Review, for Teams and Enterprise plans. Rollouts monitors each pull request as it deploys and reports change health per environment, while Security Review reports exploitable bugs on every pull request.

AIBoris Cherny used Opus 5.5 to formally verify the Claude Agent SDK with Lean, and short prompts produced 16 PRs fixing bugs and race conditions. He also combines Lean and TLA+ to find issues in data flow, concurrency, and state management, and says Claude is strong in both languages even though he does not know them well.

AISwitching effort levels mid-session on Opus 5.5 does not break the prompt cache, according to Lydia Hallie of Anthropic. This holds when running Claude Code v2.1.280 or later.

AIOn FrontierCode, Opus 5.5 at xHigh reasoning performed worse than at lower effort, a problem also seen with Opus 5. The author attributes this to scope creep, since FrontierCode penalizes unnecessary changes and models consistently score lower at higher reasoning efforts.

AIA prompt shared by Alex Albert asks Claude to recreate San Francisco's Market Street as it stood on April 17, 1906, before the earthquake, using Blender. It requires building a source file from Sanborn fire insurance maps, the Miles Brothers film, period photos, and USGS topography, with reusable Blender Python generators for facades, street lamps, and vehicles, ending in a 10-second video up the street.

AIOpenAI announced GPT-6 Sol and GPT-6 Luna, rolling out today in ChatGPT Work and Codex. The rollout covers Plus, Pro, Business, Enterprise, and Edu users.