We're shipping this exact pattern for production remediation at InariWatch.
Currently at 20% canary, full rollout in a few days once the metrics close: hypothesis diversity ≥ 3 per session + success rate ≥ single-agent baseline.
Session Replay is live on InariWatch 🎬
• DOM + console + network + Web Vitals — all in one timeline
• Backend I/O synced to the same scrubber
• Rage + dead-click detection
• AI-narrated chapters
• One click → PR with the fix
https://t.co/X3rixBrD8W
I'm building InariWatch — the first monitoring tool with a full closed-loop repair cycle.
detect → diagnose → fix → CI → deploy → monitor → revert
Not just alerts. Not just dashboards. Your app actually heals itself.
How it works:
- Connects to Sentry, Vercel, GitHub, Datadog (or use our SDK — 1 line)
- AI diagnoses root cause on every alert, for free
- Click "Fix It" → clones repo, generates fix, runs tests, opens PR
- 11 safety gates before anything merges autonomously
- Post-merge monitoring reverts if regression detected
All AI features are free. No API key needed. Solo dev, building in public.
Beta is open: https://t.co/8yCF3Er3Nm
Building my own Managed Agents for InariWatch
The AI spins up a Docker container, clones your repo, explores the code, writes the fix, and runs tsc + build inside the container — only pushes code that compiles.
No broken pushes. No CI retries.
The AI verifies its own code before pushing.
npx @inariwatch/mcp init
Your app breaks at 3am. InariWatch catches it, reads the session replay, writes the fix, runs 11 safety gates,
deploys to staging, and ships — or drafts a PR if anything fails.
One command connects all your AI tools.
https://t.co/hEQ0GYZ7tX
Your AI coding tool is guessing what broke in production.
InariWatch gives it the full picture — stack traces, git context, I/O recordings, breadcrumbs — before you even ask.
One command. Any AI tool.
npx @inariwatch/mcp init
https://t.co/hEQ0GYZ7tX
Your AI coding tool now knows what's broken in production before you open your editor.
17 MCP tools. One URL. Any AI tool.
Claude Code, Cursor, Windsurf, VS Code, Codex, Gemini — all connected.
npx @inariwatch/mcp init
https://t.co/hEQ0GYZFjv
Your AI coding tool now knows what's broken in production before you open your editor.
stack trace. logs. root cause. all there.
one URL. any AI tool.
https://t.co/hEQ0GYZFjv
Every monitoring tool stops at "here's your alert."
InariWatch reads your code, writes the fix, pushes a branch, waits for CI, and opens a PR.
From error to merged fix. 2 minutes. No human needed.
Open source. https://t.co/hEQ0GYZFjv
Your CI broke at 3 AM.
By 3:02 AM, InariWatch already:
→ diagnosed the root cause
→ read your code
→ wrote the fix
→ pushed a branch
→ CI passed
→ opened a PR
You woke up to a green build.
Open source. AI analysis included free.
https://t.co/8yCF3Er3Nm
I built InariWatch — open source AI monitoring that fixes your code while you sleep 🦊
When your deploy breaks at 2am, it:
→ Correlates alerts (GitHub, Sentry, Vercel, Datadog)
→ Runs AI analysis (your own key)
→ Writes the fix
→ Opens a PR
→ Auto-merges if CI passes
No noise. Just fixes.
Free. MIT. Self-hostable.
👉 https://t.co/v9MoTN2jtO
🌐 https://t.co/8yCF3Er3Nm
🚀 Lanzando Stackpedia — una enciclopedia viva del stack moderno.
Explora tecnologías, herramientas y arquitecturas en un solo lugar:
frontend, backend, cloud, IA y más.
Menos ruido. Más conocimiento práctico.
🔗 https://t.co/noXQlzl6gE
#Dev#Stack#Programming#OpenSource
El dev que sabe usar bien la IA hoy es fácilmente 5–10x más productivo que uno que no la usa.
No porque la IA escriba mejor código.
Sino porque elimina el 80% del trabajo aburrido.