BRAID is the real-time AI debugger that brings ChatGPT-level intelligence directly into your VS Code or Cursor IDE with no tab-switching, no manual prompting.
It captures browser console errors from your local dev server (localhost:3000+), securely routes stack traces + project context to powerful LLMs (7 models from OpenAI & Google), and instantly delivers precise, inline fix suggestions with visual red/green diffs right in your editor.
BRAID auto-detects your framework (76+ including React Server Components, Next.js patterns, "use server" directives), dependencies, versions, and code patterns (async arrows, prop drilling chains, exports, etc.), then gathers targeted code snippets across files for highly accurate fixes. Debugging feels 10–15× faster than copy-pasting into ChatGPT (see live comparison videos on our site/YouTube).
Privacy-first: no code or errors stored unless you opt-in for improvement. Smart caching reuses fixes for repeat errors (zero extra queries). Self-improves via your accept/reject feedback to train a future domain-specific BRAID LLM. Multi-project support, customizable settings, and flexible pricing from free to enterprise.
Stop wrestling with frontend bugs, let BRAID fix them inline while you stay in flow.
Real-time error capture & AI fixes : Grabs browser logs from localhost instantly and suggests fixes directly in your IDE with one-click apply.
Deep project context awareness : Detects 76+ frameworks, dependencies, versions, RSC patterns, function types (async arrows, exports, "use server", classes), and traces errors across files/prop chains.
Inline visual diffs : Red removals + green additions, line/column precise, multi-file navigation with accept/reject all options.
Smart caching : Identical errors reuse local fixes instantly → saves queries and delivers sub-second responses on repeats.
Multi-project & multi-window support : Debug several localhost apps (3000, 3001, etc.) simultaneously across IDE instances.
Privacy by default : No storage of code/errors/stack traces unless explicit opt-in; opt-in data hashed/encrypted/deletable anytime.
Self-improving via HITL feedback : Accept/reject suggestions trains future BRAID LLM (SFT + DPO) for better frontend-specific accuracy.
7 powerful LLMs : Leverages top OpenAI + Google models now; evolving to a closed-source, ultra-fast BRAID model.
Usage dashboard & stats : Track daily queries, cached savings, history (local per-user storage), and subscription limits.
Customizable & version-safe : Target URLs, auto-start, cache size, etc.; self-managed versioning ensures no mismatches.
Referral perks : Earn $5 off next month per referred paying user ($5+ purchase).
Frontend developers fixing bugs in React/Next.js/Vue/Svelte apps : Catch hydration errors, prop drilling issues, RSC mismatches, or async race conditions and get inline fixes without leaving the editor.
Indie hackers & solo makers : Speed up debugging during intense build weeks or launch crunches; free tier covers light usage while you ship fast.
Teams building complex UIs : Multi-project support lets multiple devs debug different localhost ports/windows under one account; enterprise tier scales for 15+ users.
Learning new frameworks or patterns : BRAID explains and fixes unfamiliar errors (e.g., Next.js App Router gotchas) with context-aware suggestions, acting as an on-the-fly tutor.
Reducing context-switching fatigue : Eliminate bouncing between browser console, Stack Overflow, and LLM chats, stay in flow and ship 10–15× faster.
Handling repeat bugs efficiently : Smart caching turns one-time fixes into instant reuse for the same error across sessions or team members.
Privacy-conscious developers : Keep sensitive project code 100% local unless you choose to contribute anonymized feedback for product improvement.

Hello friends and frontend devs! 👋 I built my developer tool BRAID simply because I saw the current typical debugging process wasn't bridging the gap of localhost to IDE making debugging slow. My early tests show getting suggested fixes 15x faster than manually prompting an AI model my bug and needed fix. ( I have a live video on my site/youtube if you want to see that ) If anyone wants to try it out, it's live in VS Codde & Cursor marketplaces as well. I'm launching here to get it in front of real builders, maybe that you? The free tier comes with forever 10 daily free queries. If your project has a break in localhost, BRAID fixes it immediately. If you do end up trying it out, please let me know! 1. Does the context detection nail your framework/stack? 2. Are the suggestions actually useful in your specific project (or is it just totally off? lol)? 3. What bugs do you fight most that you wish BRAID could fix for you? Feedback, roast, or just "this saved me today" — drop it below. Super grateful for any upvotes, comments, or referrals (you get $5 off next month per referred paying user).Let's make debugging suck less. Feedback, roast, or just "this saved me today", drop it below. Super grateful for any upvotes, comments, or referrals (you get $5 off next month per referred paying user).

Hello friends and frontend devs! 👋 I built my developer tool BRAID simply because I saw the current typical debugging process wasn't bridging the gap of localhost to IDE making debugging slow. My early tests show getting suggested fixes 15x faster than manually prompting an AI model my bug and needed fix. ( I have a live video on my site/youtube if you want to see that ) If anyone wants to try it out, it's live in VS Codde & Cursor marketplaces as well. I'm launching here to get it in front of real builders, maybe that you? The free tier comes with forever 10 daily free queries. If your project has a break in localhost, BRAID fixes it immediately. If you do end up trying it out, please let me know! 1. Does the context detection nail your framework/stack? 2. Are the suggestions actually useful in your specific project (or is it just totally off? lol)? 3. What bugs do you fight most that you wish BRAID could fix for you? Feedback, roast, or just "this saved me today" — drop it below. Super grateful for any upvotes, comments, or referrals (you get $5 off next month per referred paying user).Let's make debugging suck less. Feedback, roast, or just "this saved me today", drop it below. Super grateful for any upvotes, comments, or referrals (you get $5 off next month per referred paying user).
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