2026-11-01 22:39 Herdr now has a desktop app — no longer just "tmux for agents" Herdr — a runtime for coding agents https://herdr.dev/tui/ Herdr is a runtime for coding agents that doesn't just wrap Claude Code, Codex, OpenCode, or Pi — it owns their terminals. The classic Herdr isn't going away, but it's now a separate product with its own server: agents started in the TUI don't show up in the app, and vice versa. https://herdr.dev/ On October 29, Herdr announced two things at once: the new herdr-core and a native desktop app built on it. Agents live in herdr-core, a small server on the machine, so closing the window or updating doesn't kill the work. Agents can control other agents. After a herdr-core restart, processes aren't restored — only the layout. Herdr is interesting because it turns the UI into files and lets agents control each other. It's no longer "tmux with statuses" but an attempt to build a work environment an agent can rewrite for itself. Telemetry in releases is on by default (Settings → Privacy). Layouts aren't themes but full windows with their own logic. Herdr 98 ships in the box. The community shares its layouts: Pasture (agents as sheep; a blocked one jumps with a speech bubble), Mission (green mission control), Board (cards: needs you / working / done / idle), Call, Threads. Importantly, someone else's layout can read files, access the network, and run processes. Quick tour shows that the desktop is not just a pretty TUI but a construction kit. Light theme, importing old TUI settings, adding a file tree mod during setup, opening a space. https://www.youtube.com/watch?v=6GR75W2dRmU Video on YouTube: https://www.youtube.com/watch?v=6GR75W2dRmU The author shows that mods can be installed right away. You can ask Herdr to switch to tmux bindings. The author tells the agent: "split panel vertically and start two Codex agents; add another tab with two Claude agents" — the agent splits the pane, opens a tab, and starts the agents itself. Agents communicate through a bridge; the lead agent delegates to workers; you can sort by priority/space, drag panels, and split horizontally or vertically. Discussion https://news.ycombinator.com/item?id=50298436 A "harness for your harnesses" that doesn't look like vibe-coded slop. Convenient "everything is a pane": you can keep an SSH session in one pane and ask an agent in another to diagnose the system, and it doesn't pull your SSH keys into the harness; agents from different vendors can review each other; UI customization: "told it to add a feature, and it reloaded." Criticism: TUI and app are fragmented, old sessions weren't picked up, keybindings are different; no built-in browser; on Windows there's no proper installer/uninstaller; some found the app didn't detect Claude Code or showed empty panes after a restart. #herdr https://aicode.danvoronov.com/2026-11/1_22-39/ #rss #feeds #linksharing #qwibbit

2026-10-29 10:09 Anthropic paid well-known Canadian tech blogger Tim Ruscica to make this tutorial. The YouTube channel Tech With Tim (@TechWithTim) breaks down the setup and capabilities of Claude Code (mostly the desktop app): from installation and model selection to skills, subagents, hooks, and context management. The sections on MCP, plugins, mods, and routines are superficial. CLI/CI, team practices, and security are barely covered. There were already similar "from zero to workflow" videos about Codex (14.07.2026) and Cursor 3.0 (29.07.2026), and a year ago about Cursor 2.0, Windsurf, and Trae. https://www.youtube.com/watch?v=3TwbE7gv6qo Video on YouTube: https://www.youtube.com/watch?v=3TwbE7gv6qo Main topics if you want to revisit the basics: Plan Mode (12:43) — plan and questions first, then code. Reduces rework and token spend. CLAUDE.md (16:57) — the file records the stack, commands, conventions, and restrictions; any new chat is up to speed immediately. settings.json (23:31) — allow/ask/deny for commands and files; a mandatory deny for secrets. Skills (27:03) — turns repeated explanations into reusable instructions. Subagents (31:27) — isolate background work from the main context; can run in parallel. Hooks (35:49) — event-driven automation: tests after a response, blocking dangerous commands, notifications. Managing Context (40:20) — understanding the context window and /compact directly affects quality and cost. #claudecode #bestpractices https://aicode.danvoronov.com/2026-10/29_10-09/ #rss #feeds #linksharing #qwibbit

2026-10-26 14:35 The VibeWise plugin makes the agent first ask how you understand the task VibeWise https://github.com/nykooi1/vibe-wise https://www.youtube.com/watch?v=GckkaKEQ3vo The project appeared on September 29, 2026. In a month — almost 4 thousand stars. It's a plugin for Claude Code and Codex. In Claude Code it installs from the Anthropic directory, in Codex — via the plugin marketplace. After a restart you have to explicitly enable the mode: /vibe-wise:learn or $vibe-wise:learn. Without that, the installation teaches nothing and gives no permission to code. The agent asks how you propose to solve the task. Not "which stack should we use?", but "what happens to a shared note if you delete the folder?". The key part is three types of checkpoints: Build — you and the agent work out how to approach the problem. Design — you lock in the design. "Confirm and continue" records the decision and continues planning, but there's no code yet. Implementation — you separately confirm a specific change. "Implement this step" lets the agent write code. After implementation the agent must briefly explain what changed, how the key code works, why it matches your decision, which tests were added and what they cover. Not "done", but a report you can verify. State lives in .vibe-wise/: profile.md, progress.md, project-map.md. There are beginner / intermediate / advanced levels and a separate checkpoint frequency light / normal / frequent. There's no backend, separate model, or telemetry. The notes go into the agent's context, so the host's usual privacy settings apply here too. .vibe-wise/ can be added to .gitignore. VibeWise's methodology currently has no research proving it improves understanding in the long run. It's interesting because it makes learning a blocker for generation. That doesn't guarantee understanding, but it changes the default: the agent can no longer start with generation. Universal fork for other harnesses https://github.com/Itskorrah/vibe-wise-universal This is not an official upstream branch, but a separate derived project. It preserves the original's authorship and demos but covers Claude Code, Codex, OpenCode V1/V2, Antigravity and portable mode. Shared notes live in the same .vibe-wise/profile.md, progress.md, project-map.md. vibe-wise-agy. https://github.com/adith-p/vibe-wise-agy An Antigravity port with a design-first approach. vijayamukesh13j/vibe-wise https://github.com/vijayamukesh13j/vibe-wise Another Antigravity port. vibe-wise-pi https://github.com/Aitbytes/vibe-wise-pi A port for the pi coding agent. vibe-wise-mcp https://github.com/yava-code/vibe-wise-mcp MCP server: the same design-first gate for any agent, decisions in .vibe-wise/ Similar in idea, but different: DshVibeLearning https://github.com/EarzuChan/DshVibeLearning A plugin for DeepSeek Harness: /learn, plans, FSRS, notes. An early POC, not a finished product. vibe-learn https://github.com/rudrasatani13/vibe-learn A Claude Code skill: explains concepts at the moment of generation, then unobtrusive quizzes. There's a Learn block, Bug class and Mental model, spaced repetition, export to Anki/CSV/Markdown, state in .vibe-learn/. stay-sharp https://github.com/zhinit/stay-sharp A CLI with manual exercises while the agent does the task. A simple idea: don't watch the agent write, write yourself in parallel. #vibewise #vibecoding #claudecode #codex #opencode #antigravity #agentskills https://aicode.danvoronov.com/2026-10/26_14-35/ #rss #feeds #linksharing #qwibbit

2026-10-20 11:32 Which companies build both their own model and their own harness for it. USA Anthropic — Claude Code https://code.claude.com/docs/en/overview https://claude.com/pricing One of the best-known tandems: Claude Opus / Sonnet / Haiku (now also Fable) plus the Claude Code harness (initially CLI, now IDE, desktop, web). There is no free tier for Code — the minimum is Pro at $20/mo ($17 with annual billing). Then Max 5x at $100 and Max 20x at $200. From a lightweight terminal client, Claude Code has grown over the years into a heavy combine with everything imaginable — Slack, Chrome, CI/CD, a mobile app, and computer use that clicks around the screen by itself. Only Anthropic models. Anthropic has saved limit resets: they can be applied later, once the limit is already exhausted. Unlike Codex, such a reset restores only the limit named in the offer (the five-hour or the weekly one) and does not shift the usual weekly reset day. The first such resets came with Opus 5.5 on September 22, 2026: Pro, Max, and Team could apply them until October 22. OpenAI — Codex https://developers.openai.com/codex/cli https://developers.openai.com/codex/pricing GPT models and the agentic Codex harness — CLI, IDE, desktop, and cloud. OpenAI fell behind competitors in agentic coding, but was catching up: in the first months after launch it gave away a lot of tokens even on the free plan. Over the past year the CLI has evolved noticeably: multi-agent scenarios, worktrees, web search, MCP, voice input, and CI/CD integrations. Codex temporarily comes with all ChatGPT subscriptions: Free (usually only the base model) and Go $8. Of course it is included in Plus $20, Pro $100, $200, $500. Together with the desktop app and the cloud, Codex has become one of the main competitors to Claude Code and Cursor. Only OpenAI models. A separate Codex mechanic is the banked reset: a saved reset you can stockpile and apply manually once the weekly limit of your subscription plan is exhausted. It immediately refreshes both the five-hour and weekly windows and shifts the date of the next weekly reset. This is not the same as a paid reset, which you can buy after hitting the weekly limit. Google — Antigravity https://antigravity.google/ https://antigravity.google/pricing Gemini lives in the Antigravity ecosystem: the desktop app, CLI, and IDE integrations. Before that, the open-source Gemini CLI was shut down for regular users on June 18, 2026, and everyone was moved to Antigravity CLI, which is not open source and is also a rather rough, inconvenient product. The community is still angry that contributions to the open project went into a closed product and into the fork for China's Qwen Code. Gemini 4 Argon is definitely available on Ultra ($100 and $200), while Free gets Gemini 3.8 Flash. The AI Pro $20 plan is a question mark — it's all muddled as to whether Gemini 4 is there now. Also, besides Gemini, there are for some reason two old Anthropic models and OpenAI's gpt-oss-120b. Meta — Muse Code https://dev.meta.ai/products/muse-code/ Over the past weeks Meta has made good progress and introduced the terminal harness Muse Code for the Muse Wonder/Spark models. Plans $5 Everyday / $15 High / $50 Power / $200 Maximum, Wonder Full unlocks from Power. The product is still young, so it's worth watching its development and how developers actually adopt it. Only Meta models. A separate issue is trust in Meta and code privacy: by default, subscriptions use Contributor mode, which allows Meta to use submitted content to train its models. You can turn this off in the settings by choosing Standard mode. xAI — Grok Build and Cursor https://docs.x.ai/build/overview https://cursor.com/cli https://docs.x.ai/x-subscription/overview Elon Musk's company: the Grok 4.7 model (the Fast variant only through harnesses) is available in the lightweight Grok Build CLI and the acquired Cursor. The X Subscription merged Grok, Cursor, and X into one subscription with a shared weekly pool. Plans Free / Plus $8 / Premium $30 / Super $100 / Ultra $200. On Free, Grok Build's limits are very tight — sometimes it can't even finish a single task. Also only the Grok model. Microsoft — GitHub Copilot https://microsoft.ai/models/mai-code-1-flash/ https://github.com/features/copilot/cli https://github.com/features/copilot/plans Microsoft is developing its own compact model MAI-Code-1.1-Flash (MoE 137B, 6.8B active). It is available in GitHub Copilot and VS Code. GitHub Copilot has its own terminal harness variant. Prices: Free $0 / Pro $10 / Pro+ $39 / Max $100. The free tier includes 2,000 completions per month with lightweight models. MAI-Code-1.1-Flash is also being optimized for local execution; Microsoft announced an experimental integration into Copilot CLI and other Microsoft clients for the end of October 2026. In its early days GitHub Copilot got models only through its partnership with OpenAI; later Anthropic, Google, xAI, and Kimi K3 were added. They also tend to be conservative and don't rush to add new features until users of other harnesses react positively. China Xiaomi — MiMo Code https://mimo.xiaomi.com/coder https://mimo.mi.com/docs/en-US/tokenplan/subscription The terminal MiMo Code harness is built as a fork of the popular OpenCode project for its own models mimo-v2.6-pro and mimo-v2.6-flash, with cross-session memory added. The repo has issue 1230 asking Xiaomi to openly thank OpenCode's contributors — they kept the license but never mentioned the people who built the foundation. MiMo Code inherited a weak spot from OpenCode in its security model: the allow / ask / deny permission system is not a full sandbox and doesn't guarantee the agent won't bypass restrictions by executing commands. On Windows, specifically, people found ways to get around file-access restrictions via PowerShell. There's a shared Token Plan credit package for using Xiaomi models in supported tools, including OpenCode, Claude Code, and OpenClaw. Plans: Lite $6 / Standard $16 / Pro $50 / Max $100. There's no free way to try the mimo models. Like OpenCode, there's integration with the Models.dev model catalog. Alibaba — Qwen Code https://qwenlm.github.io/qwen-code-docs/en/users/quickstart/ https://docs.modelstudio.console.alibabacloud.com/en/model-studio/token-plan-overview The terminal agentic Qwen Code harness, as I wrote earlier, was a fork of the old Gemini CLI v0.8.2 (they say so in the README), which then started evolving on its own and already has desktop and mobile apps. It supports qwen3.8-max, as well as the 3.7 / 3.6 lineups. Free Qwen OAuth was discontinued on April 15, 2026. A separate Coding Plan Pro product at $50, which, according to Alibaba's documentation, is no longer available for purchase after the limited offer runs out. The international Token Plan is currently available only in the Singapore region. Token Plan Personal: Lite $6 / Essential $10 / Standard $18 / Pro $68 per month at promo prices. Alibaba's catalog contains more than just Qwen models. DeepSeek — DeepSeek Harness (dsh) https://github.com/deepseek-ai/deepseek-harness https://deepseek.ai/pricing dsh is an open-source project for building an agentic harness whose main principle is "everything is a plugin": you can replace not only models and tools, but also memory, sessions, sandboxes, the agent's work loops, and the interface itself. It is built on the Cordis plugin core. There's a Web UI, headless launch, and several operating modes — from a minimal agent with a shell and file editor to a full coding agent with planning, subagents, and workflows. DeepSeek has no subscription plan — only pay-per-token with (off-)peak pricing. When registering in the harness, a new DeepSeek account may get a small number of free credits. Zhipu — ZCode https://zcode.z.ai/en https://z.ai/subscribe#code-plans-container ZCode is the Chinese company Z.ai's own agentic development environment (ADE), integrated with its GLM-5.3 model. It is a desktop app for Windows, macOS, and Linux, not a terminal CLI. GLM Coding Plan works not only in ZCode: the subscription can be used in many compatible harnesses. Plans: Lite $18 / Pro $80 / Max $168. Only GLM models. Moonshot — Kimi Code https://www.kimi.com/code/ The Kimi K3 model and the Kimi Code agentic harness (CLI, VS Code, Desktop). The old Kimi CLI was written in Python. On September 23, 2026, Moonshot archived it and replaced it with the new Kimi Code CLI — a different codebase, a redesigned interface, and distribution as a single binary. The new CLI is written in TypeScript, and its terminal interface is built on top of a separate pi-tui library. There's no free way to try the model. Plans Plus $19 / Pro $39 / Max $99 / Ultra $199, previously named after musical tempos: Andante, Moderato, Allegretto, and Allegro — but the sales department apparently didn't appreciate it. Credits are shared across all Kimi services — Kimi Code, the chat agent, and Deep Research. The subscription includes only Kimi models, but in Kimi Code you can connect any other models via your own API keys. MiniMax — MiniMax Code https://github.com/MiniMax-AI/minimax-code https://platform.minimax.io/subscribe/token-plan For the MiniMax M3 and M3.1-Flash models, the company is developing its own agentic harness MiniMax Code as an ecosystem with a desktop app, web interface, terminal CLI, and mobile apps for iOS and Android. The terminal agent is open source under the MIT license. MiniMax Code can be connected directly to your MiniMax account. Token Plan: previously Plus $22 / Max $55 / Ultra $132, new names Go / Explore / Build. 50% off the first month. There are free quotas. The subscription includes only MiniMax models. The ability to add custom model providers via OpenAI- and Anthropic-compatible APIs is only available in paid subscriptions. Tencent — CodeBuddy Code https://www.codebuddy.ai/docs/cli/overview https://www.codebuddy.ai/docs/ide/Account/pricing Tencent is developing its own Hy3 and Hy4 models and the agentic harness CodeBuddy Code. It is not tied exclusively to Tencent models. Subscription Pro $10, Team $40 per user per month, plus a Top-up Pack — a one-time purchase of additional credits available to active Pro and Team subscribers. In the end I couldn't figure out whether it's only their models or also GLM, Gemini, etc. Other countries Mistral (France) — Vibe https://mistral.ai/solutions/coding/ https://mistral.ai/products/vibe/ https://mistral.ai/pricing/ It has its own model lines Devstral, Large/Medium/Small, the unique Leanstral, and the Mistral Vibe agentic CLI harness. The Vibe ecosystem also covers the web interface (formerly called Le Chat), mobile apps, and IDE plugins. The old Vibe variant can still be run via --legacy-harness. It's hard to tell whether this can be used for real work, because it looks like an unstable project. The Mistral Medium 3.5 and devstral-small models can be tried for free, but you can't turn off consent to use data for training. Full access is available in the Pro $14.99 and Team $50 for two subscriptions; extra usage can be paid as you go (PAYG). The company lags behind the US and China, so they added GLM-5.3 as an alternative. JetBrains (Czechia) — Junie https://www.jetbrains.com/junie/ https://www.jetbrains.com/ai-ides/buy JetBrains' own model line is called Mellum, where Mellum2.1 is an open MoE model with 12B parameters, 2.5B of them active (i.e., small and fast). But the Junie Local harness variant for local coding currently uses only a specially tuned Qwen3.8-3.6-27B-blend. JetBrains' full coding agent Junie runs in the IDE, in the terminal, and in GitHub Actions. It supports models from OpenAI, Anthropic, Google, and xAI, as well as third-party providers and compatible local endpoints. JetBrains AI plans: Free — $0 (3 AI credits) / Pro — $10 (10 credits) / Ultimate — $30 (35 credits). One AI credit corresponds to $1 of cloud-model usage cost. An important note on the impossibility of comparison. Because although most have $10/$20 plans, that doesn't mean they're the same in terms. There's no standard for how many tokens to include, and on top of that everyone has different models with different capabilities. #harness #compare #agenticcoding #cli #desktopapp #claudecode #claude #anthropic #codex #openai #gemini #antigravity #google #musecode #meta #grok #grokbuild #cursor #githubcopilot #microsoft #mimo #qwen #deepseek #dsh #glm #kimi #minimax #mistral #mistralvibe #junie https://aicode.danvoronov.com/2026-10/20_11-32/ #rss #feeds #linksharing #qwibbit

2026-10-17 08:12 OpenCode has moved to the 2.0 branch — the largest rework in its history. OpenCode 2.0 https://anoma.ly/notes/opencode-2-0/ A good refactoring. Now a single background service starts automatically, and TUI, web, and desktop all work with one process. The API was rewritten from scratch — the authors themselves say the old one "grew chaotically and was bad." The main new feature is Code Mode, where the agent calls tools not one at a time but as a script, so several calls go in a single exchange with the model, and thousands of MCP servers barely inflate the context. Background subagents and background commands were added, and almost every 2.0 feature was made an internal plugin (80+). Free models in Zen https://opencode.ai/docs/zen/ In Zen, developers help test agents, so there are often more than a dozen free models, from stealths and Big Pickle, Space Bunny to MiMo, Ling, Nemotron, Muse Spark, GLM. No account, no key, no card: just /models and go. For a quick test or comparing several models on real tasks, this is the most convenient free playground in the industry. But in August the gateway started rejecting requests without proprietary headers (429 FreeUsageLimitError), in September a requirement for a full set of tools was added (403), and in October now you also need a properly signed opencode session, or you'll get OpenCode's free tier can only be used from within OpenCode. The catalog is great, but using it from Pi, DSH, Claude Code, or any other harness is getting harder and harder. Discussion https://news.ycombinator.com/item?id=50094994 The most notable thing is the more flexible architecture; the client-server model is now finally used to the fullest: the agent on one machine, control from another. The main dispute is autonomy versus security. Some believe the agent should create plugins itself and change the environment, otherwise automation becomes an eternal confirmation of actions. Others respond: if the agent changes its own tools and the changes immediately take effect, it expands its capabilities without a separate permission, and a mistake, prompt injection, or malicious plugin could leak secrets or damage the system. They advise isolation in a container or VM, keeping keys outside, and reviewing important changes separately. A separate complaint: 2.0 allegedly pulls remote configuration from the model provider, which poses a risk of executing untrusted code — but this is a claim from the discussion, not an independently confirmed audit. Overall, OpenCode never had flexible security configuration before, and it continues to be that way. #opencode #mcp https://aicode.danvoronov.com/2026-10/17_08-12/ #rss #feeds #linksharing #qwibbit

2026-10-14 10:04 Although Elon Musk's team looked close, Grok has stalled lately, and it was unexpectedly Zuckerberg's team that caught up with the leaders first. Google is back to SOTA as well. Gemini 4 Argon access https://blog.google/innovation-and-ai/products/gemini-app/gemini-4-argon-availability/ https://antigravity.google/blog/gemini-4-argon-in-google-antigravity The first near-frontier model in a long time. After the September 30 announcement, when Argon was given only to cyber defenders, on October 13 Google rolled it out more broadly: the Antigravity desktop app and CLI + API on the Gemini platform. Per independent code-generation tests, it's obviously not at Opus 5.5 level, but it's already competitive with OpenAI. The API has tricky intro pricing at $2 per Mtok of input / $10 of output, rising to $4 / $20 after November 30 — i.e. expensive. In Gemini web and app, Argon is on Pro and Ultra, but in Antigravity — Ultra only $100/200. https://one.google.com/about/google-ai-plans/#compare-plans I don't like this trend of pushing a coding agent into a regular app, but Google backed it — macOS only for now: the Gemini chat app now has Antigravity option at the top. Discussion https://news.ycombinator.com/item?id=50073879 Unsurprisingly, $20 Pro subscribers in Antigravity are angry and demand Argon too. The main praise is for non-coding: crisp mini-essays, parameterized simulations, 3D visualization where ChatGPT 6 Pro and Opus 5.5 failed. Speed reports are polarized — from very fast to slow on agentic tasks, limits are conservative, context is 1M but people complain about auto-compact. New Muse Wonder lineup https://dev.meta.ai/models/muse-wonder/ https://dev.meta.ai/products/muse-code/ Two new closed models from Meta.ai — fast Wonder and full Wonder Full. Both with 1M context. Per their tests, top on DeepSWE 1.1 and SWE-Marathon, ahead of Claude Fable 5.1, GPT-6 Astra, and Claude Opus 5.5. Muse Code is a terminal coding agent for macOS and Windows. Multi-agent by default: it parallelizes workers, background reviewers, everything is audited. Plans are $5 Everyday / $15 High / $50 Power / $200 Maximum, with Wonder Full unlocked only on Power and Maximum. https://www.youtube.com/watch?v=cKzu7phvcs0 Video on YouTube: https://www.youtube.com/watch?v=cKzu7phvcs0 The video breaks down the Muse Wonder + Muse Code combo for image and video generation — how to install Muse Code, select Wonder / Wonder Full. It shows creating images from text prompts, grounding with references, edits and turning a frame into a clip, previewing the result right in the session, and saving finished files. Region block Login from Muse Code via browser fails with Not available in your region — The Model API isn't available in your region right now. I didn't find a separate list of valid countries in the docs, but Ukraine currently appears blocked for the Model API, so Muse Code can't be logged in directly. Uninstalling Muse Code https://github.com/TerryZH/muse-code-uninstaller Unofficial MIT uninstaller for macOS in Bash. Dry-run by default, just calculates how much space will be freed. Only deletes with the --uninstall flag, leaves the parent ~/.local/bin untouched. On Windows there is no entry in Add/Remove Programs, the installer writes itself to User PATH, plus it creates sandbox users muse-sbx-r1 / u1 and a MuseSandboxUsers group, profiles in C:\Users\muse-sbx-* and keys in ProfileList — after removal all of this has to be cleaned manually via takeown /f "C:\Users\muse-sbx-r1" /r /d y. #musecode #gemini https://aicode.danvoronov.com/2026-10/14_10-04/