BitFun combines a high-performance agent runtime written in Rust with a polished desktop application. It pairs the depth of a Code Agent with open, general-purpose capabilities for work beyond software development.
C-Rank Grade: S (Elite) - 75/100
External PR Merge Rate: 88%
Response Time: 2d
First Timer Success: 58%
GCWing/BitFun has a recorded first-timer success rate of 57.6%. Repositories ranked S typically provide actionable feedback during code reviews and actively nurture new community contributors.
Maintainers in GCWing/BitFun respond to incoming external pull requests in approximately 43.0 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.
The C-Rank™ system evaluates GitHub projects on a 0–100 scale using real data: PR merge rates, review turnaround time, active maintainer presence, and first-time contributor success. A score of 75.5 places GCWing/BitFun in the S tier.
The external contributor pull request merge rate for GCWing/BitFun is 88.2%, based on public PR activity from non-core contributors.
GCWing/BitFun currently has 13 active issue(s) tagged with beginner-friendly labels like "good first issue", "beginner", or "up-for-grabs".
Highly welcoming maintainers in GCWing/BitFun. Prompt code reviews with positive guidance for new contributors.
Average Response Latency
Tracks hours until a maintainer leaves a review, comment, or PR response.
External Acceptance Rate
Percentage of community pull requests successfully merged into main.
First PR Conversion
Rate at which developers submitting their first repository PR succeed.
Show contributors that your repository actively reviews and merges external pull requests.
[](https://getmerged.abhishekco.de/GCWing/BitFun?utm_source=github&utm_medium=badge)
External PR acceptance
First PR success rate
50% receive response in
90% receive response in
Maintainer review activity heatmap & prime window prediction
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Maintainers are most responsive around 14:00 UTC (14:00 UTC in your timezone). Recommended submission window is Monday - Thursday from 12:00 to 16:00 UTC (12:00 - 16:00 UTC local).
Limited recent maintainer review activity recorded for this repository. Prediction based on heuristic baseline.
Maintainer Strategy: Maintainer Sweet Spot: PRs under 150 lines merge in ~28 hours (96% approval). Large PRs (>500 lines) take ~206 hours (40% approval). Keep your diff compact for rapid review.
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Problem / opportunity BitFun 内置的 Markdown 查看器/编辑器（打开 .md 文件时使用）不渲染数学公式，$...$ 与 $$...$$ 只显示为原始文本；而对话（chat）中的 Markdown 已经支持 KaTeX 公式渲染。两者渲染能力不一致。 对以 Markdown + LaTeX 记笔记的用户（如数学/理科笔记）影响较大：在 BitFun 内打开自己的笔记看不到公式渲染，只能借助外部编辑器，或自行编写 MiniApp 阅读器绕过。 根因（源码层面）：BitFun 内部有两套独立的 Markdown 渲染路径—— 对话渲染（已支持公式）：src/web-ui/src/component-library/components/Markdown/Markdown.tsx 通过 mayContainMarkdownMath() 检测 $$ / \( / \[ / 行内 $...$，命中后懒加载 MarkdownMathRenderer.tsx（react-markdown + remark-gfm + remark-math + rehype-katex）。 文件查看器/编辑器（不支持）：打开 .md 走 FileViewerScene → ContentCanvas → MarkdownEditor（src/web-ui/src/tools/editor/compon
Summary 这两个工作区的图标都设置成上面那个吧，现在两个icon不一样给人的感觉是这两个路径不是并列的感觉而是所属关系 Area Desktop app Reproduction or evidence 如上 Environment, if relevant No response
Summary Edit tool causes massive token amplification (957K input for a 1185-line file) and hangs (1m23s instead of <5s) when: Editing large files (1000+ lines) Read-state cache is stale (e.g., consecutive Edits to same file in one round) old_string is moderately long Root Cause Combination of two upstream commits: 1. f8a32ce — kev1n77 — "fix(edit): add whitespace-normalization candidates and fix CRLF blind spot" Added convert_tabs_to_spaces() and convert_leading_spaces_to_tabs() to edit_string_candidates() in src/crates/execution/tool-execution/src/fs/edit_file.rs. For each tab_width in [2,4], generates up to 4 additional candidate (old,new) pairs via tab↔space conversion. Each candidate calls find_actual_string(content, candidate) which does full-file character-by-character scan with quote normalization. On a 1185-line file, this multiplies the scan cost significantly. 2. e5024fd — limityan — "refactor(core): move file tool result facts into execution" Moved read-state val
Summary Area Desktop app Reproduction or evidence 如上图，是这样设计的还是bug Environment, if relevant No response
Summary AI 会话中，上下文压缩非常不积极，每次都等到上下文窗口接近满载才触发压缩。压缩过程同步阻塞，调用 AI 模型生成摘要期间会话完全卡住，用户体验很差。 以下是AI分析结果，仅供参考： 压缩触发阈值使用固定偏移量而非比例，导致不同 context window 大小下触发比例差异巨大 见：input_limit = context_window - 26,000 (output_reserve=16K + safety_reserve=10K) 压缩在 round 循环内同步执行（execution_engine.rs:2903），需调用 AI 模型生成摘要，期间会话完全阻塞。之前的 microcompact 预压缩层因破坏 KV cache 已移除（compression/mod.rs:3-11），移除后无替代的轻量级提前压缩机制。 我没有进一步探索，但是感觉我们需要在上下文压缩方面下点儿工夫。这段时间我经常用BitFun做远程开发（刚刚好用），但就是任务不能跑大了，挂机时间长了之后那效果惨不忍睹呀！ Area Deskto
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When evaluating whether to contribute to GCWing/BitFun, response velocity and maintainer engagement are crucial. GetMerged continuously tracks pull request trajectories, first-comment latency, and code review rounds to help developers avoid submitting pull requests to backlogged repositories.
Currently, maintainers of GCWing/BitFun acknowledge new external contributions in approximately 1 days+. Out of all submitted pull requests from non-core authors in the last 180-day window, 88.2% were successfully merged into the primary branch.
GCWing/BitFun has a recorded first-timer success rate of 57.6%. Repositories ranked Elite typically provide actionable feedback during code reviews and actively nurture new community contributors.
The initial maintainer response time averages ~1 days+. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.
The C-Rank™ index scores repositories on a 0 to 100 scale using an objective formula: external PR merge rates, initial response speed, active maintainer count, and first-time contributor retention. A score of 75.5 places GCWing/BitFun in the Elite tier.
The external pull request merge rate is 88.2%. GetMerged isolates non-core community contributions so external developers get an accurate benchmark of PR acceptance probability.
Yes, GCWing/BitFun currently has 13 active issue(s) tagged with beginner-friendly labels. You can inspect these directly from the repository issues tab.
All metrics displayed for GCWing/BitFun are automatically retrieved via the public GitHub API and recalculated daily. Insider pull requests submitted by repository owners or organization members are excluded from merge rate calculations to preserve objective external contributor statistics.