🔥 lessweb / deepcode-cli - Deep Code 是专为 deepseek-v4 模型优化的终端 AI 编码助手,支持深度思考、推理强度控制以及 Ag
GitHub热门项目 | Deep Code 是专为 deepseek-v4 模型优化的终端 AI 编码助手,支持深度思考、推理强度控制以及 Agent Skills。 | Stars: 1,654 | 128 stars today | 语言: TypeScript
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GitHub热门项目 | Deep Code 是专为 deepseek-v4 模型优化的终端 AI 编码助手,支持深度思考、推理强度控制以及 Agent Skills。 | Stars: 1,654 | 128 stars today | 语言: TypeScript
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GitHub热门项目 | All parts of Claude Code's system prompt, 27 builtin tool descriptions, sub agent prompts (Plan/Explore/Task), utility prompts (CLAUDE.md, compact, statusline, magic docs, WebFetch, Bash cmd, security review, agent creation). Updated for each Claude Code version. | Stars: 11,638 | 28 stars today | 语言: JavaScript
GitHub热门项目 | 🦸 AI 编程超能力 · 中文增强版 — superpowers(116k+ ⭐)完整汉化 + 6 个中国原创 skills,让 Claude Code / Copilot CLI / Hermes Agent / Cursor / Windsurf / Kiro / Gemini CLI 等 16 款 AI 编程工具真正会干活 | Stars: 6,504 | 66 stars today | 语言: JavaScript
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GitHub热门项目 | AI-powered job application framework built on Claude Code. Fork it, fill in your profile, and let Claude evaluate jobs, tailor CVs, write cover letters, and prepare you for interviews. | Stars: 8,581 | 2,402 stars today | 语言: TypeScript
“You can make a living, you can have a life, and leave 55,000 emails unread with a big fuck off.”
A while back I wrote about 64% of our merged PRs being written by AI . A few people (reasonably) asked: "nice story, but can I verify any of that?" So we put it on a public, auto-updating dashboard: 👉 www.codens.ai/stats/en It shows, for our GitHub organization: What % of merged PRs are authored by AI agents (currently 65%) Median time from PR-open to merge (2 minutes) Who merged what — task-execution agents vs maintenance bots vs auto-fix vs humans Weekly AI-merge counts and a per-repository breakdown Every number is tallied straight from the GitHub API by a small collector script, and the page regenerates itself weekly. We can't inflate it — it's measured, and the down weeks show up too (that's kind of the point). Why bother making it public Two reasons. 1. "Trust me bro" doesn't scale. When you claim most of your code is AI-written, the only honest move is to expose the raw counts so anyone can sanity-check them. The dashboard is that receipt. 2. It's a live dogfooding test. The whole thing — the PRD, the implementation, the review, the auto-fix on production errors — runs on Codens , our own AI dev-automation suite. If our own numbers ever tanked, the dashboard would be the first place it'd show. Public accountability is a good forcing function. Funny footnote: the dashboard itself was code-reviewed by our own AI reviewer before it shipped, and it caught two real bugs — an OG-image percentage that had drifted out of sync with the live number, and a broken error-fallback that would have blanked the page on malformed data. The tool built to sell "AI reviews your PRs" reviewed the PR that announces it. We'll take it. If you want to see the same machinery on your repos, there's a 14-day free trial (no card): codens.ai . Japanese version of the dashboard is here .
The open-source ecosystem is converging on a hard question: when a commit is written with AI assistance, how do we know — and how do we enforce the disclosure policy? Python's discourse, Linux kernel's Assisted-by trailer, Fedora's AI policy, Apache's disclosure guidelines — every major project is grappling with this. But until now, there has been no tool at the CI level to enforce whatever policy a project chooses. Commit Check v2.11.0 introduces AI Attribution Governance — a new feature that detects known AI tool signatures in commit messages and lets projects decide whether to forbid them outright. To our knowledge, no existing tool enforces this kind of policy at the CI level. The industry need The conversation around AI disclosure is no longer theoretical: The Linux kernel standardized on the Assisted-by: trailer format — but deliberately stopped short of CI enforcement. As Sasha Levin noted at the Maintainers Summit, the kernel sets the convention, not the gate. The Python community is actively discussing whether Claude Code usage should be documented VS Code issue #313962 proposes replacing Co-authored-by with Assisted-by for AI agents Fedora requires AI disclosure (recommends the Assisted-by trailer). QEMU and Gentoo go further and forbid AI-generated contributions entirely. Each community defines its own policy — but none provides a neutral enforcement layer. That is the gap Commit Check fills. Configuration: a single toggle Commit Check keeps it simple. One configuration value, three ways to set it. TOML ( cchk.toml ): [commit] ai_attribution = "forbid" CLI: commit-check --message --ai-attribution = forbid Environment variable: CCHK_AI_ATTRIBUTION = forbid commit-check --message Two modes: Mode Behavior "ignore" No validation (default, backward compatible) "forbid" Rejects any commit containing known AI tool signatures There is no require mode in this release — only ignore and forbid . The reason is pragmatic: requiring an Assisted-by or similar trailer is
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