Config manager for Claude Code (and others) – rules, MCPs, permissions

Hacker News

I use Claude Code across multiple projects with different conventions and some shared repos just as it so happens to be the real world. Managing the config files (.claude/rules/, mcps.json, settings.json) by hand got tedious, so I built a local web UI for it. This one started out as claude-config but migrated to coder-config as I'm adding others (Gemini, AG, Codex, etc). Main features: - Visual editor for rules, permissions, and MCP servers - Project registry to switch between codebases - "Workstreams" to group related repos (frontend + API + shared libs) with shared context - Auto-load workstreams on cd to included folders - Also supports Gemini CLI and Codex CLI Install: npm install -g coder-config coder-config ui # UI at http://localhost:3333 coder-config ui install # optionally, autostart on MacOS It can also be installed as a PWA and live in your taskbar. Open source, runs locally, no account needed. Feedback and contributions welcome! Sorry, haven't had any chance to test on other OSes (linux/windows)

Visit product View on Hacker NewsJan 28, 2026

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Product HuntOn track for Day 1 leaderboard · Strong signals: mac, macos, claude · Missing: agents, agent, cursor

97%97% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Indie HackersFits the IH revenue-focused audience · Strong signals: supports, started, gemini · Missing: reddit linkedin, podcasting, created

76%76% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: open source, io · Missing: https docs, excited, just released

43%43% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

39%39% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: host · Missing: plus, platform, intuitive

38%38% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: real world · Missing: web3, chat, crypto

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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