Codmir is the AI-native Business OS with tickets, code review, deployments, error tracking, and AI agents built in — one platform that learns your business and auto-corrects when things drift off course.
Free to start. No credit card required.
Built-In
of your time goes to maintaining
what you vibe coded
Vibe coding feels like a superpower — until the maintenance hits. You ship fast, but every feature you prompt into existence is code you didn't write, don't fully understand, and now have to keep alive.
You prompted it into existence. When it breaks, you're reverse-engineering your own code — no tests, no docs, patterns you didn't choose.
Your AI forgets everything between sessions. Same mistakes, same hallucinations, different day. Every prompt starts from zero.
Every vibe-coded feature adds to the debt. The pile grows faster than you can maintain it. Solo devs have nobody to hand it off to.
You need someone to hand the maintenance to.
That someone is Codmir.
An AI agent fixes a bug, learns your codebase patterns, then forgets everything. The next agent starts from zero.
Your tickets are in one tool, code in another, errors in a third, deploys somewhere else. Nothing connects them into a single story.
Enterprise tools cost enterprise money. A 3-person team shouldn't need 8 subscriptions to ship software.
Every ticket is a living container — code changes, logs, agent traces, and references travel together. AI agents remember what they learned.
Tickets, code review, deployments, error tracking, and AI execution in one place. Every action connects to a shared reference graph.
Start solo with AI agents as your team. Add humans when you grow. The platform adapts — same power at every scale.
Watch how a bug report in Slack becomes a deployed fix — with AI doing the heavy lifting.
The Codmir bot watches your channels, detects actionable items, and creates context-rich tickets with labels, priority, and assignments — without anyone clicking a button.
Anyone else noticing the iOS app feels slow to open if you haven't used it in a bit?
Yea, we're still blocking initial render on a full vehicle_state sync every time...
Feels like we could render sooner and load the rest in the background. Probably also worth tracking startup timing so we know how often this happens!
The checkout flow is throwing 500 errors on mobile Safari. Users can't complete purchases.
Created NOB-42: "Fix Stripe webhook parsing on mobile Safari" — Priority: Urgent, assigned to @marcus
Confirmed — looks like it's related to the Stripe webhook handler not parsing the payload correctly on iOS.
Added sub-task NOB-43: "Add structured error logging to webhook handler" — linked to NOB-42
Remove UI inconsistencies
TypeError: Cannot read properties
Upgrade to Claude Opus 4.5
Optimize load times
Remove contentData from GraphQL API
Launch page assets
Prevent duplicate ride requests on poor...
Implement dark mode toggle
Add rate limiting to REST API
Agents investigate, write code, run tests, and create PRs. Every step is recorded in the context capsule. Humans review and approve — or take over at any point.
Codex Agent assigned to NOB-42: Fix Stripe webhook parsing on mobile Safari
2:16 PMExamining the issue — Stripe webhook handler failing on mobile Safari. Let me trace the request flow...
grep -rn 'webhook' src/api/stripe/ --include='*.ts'Found the issue on line 14. req.body is a ReadableStream on mobile Safari — we need to buffer it first before passing to Stripe's constructEvent.
cat src/api/stripe/webhook.ts | head -35Writing the fix — buffer the request body using req.text() before verifying.
npx vitest run src/api/stripe/webhook.test.tsAll tests pass. Creating PR with the fix and updated tests.
Opened PR #127: Buffer webhook request body before Stripe signature verification
2:19 PMSarah Chen
Frontend Lead
Marcus Owens
Backend Eng
Priya Desai
Full Stack
Jay Kumar
Mobile Eng
Codex AgentAgent
Working on NOB-42
Review AgentAgent
Idle
QA AgentAgent
Running tests
Triage AgentAgent
Idle
Structural diffs show what changed and why. See agent reasoning, test results, and evidence — all inline. Review once, whether the author was human or AI.
Good fix. Buffering via req.text() correctly handles ReadableStream on all browsers. The added null-check for the signature header prevents the unhandled rejection we were seeing.
Suggestion
Consider adding a max payload size check before buffering to prevent memory exhaustion from oversized requests.
Nice — can we also add a regression test specifically for the Safari payload format? I want to make sure this doesn't slip again.
Track every LLM call, replay every agent session, and catch quality drift before it reaches production. One SDK, full visibility.
Wrap OpenAI, Anthropic, or any LLM client in one line. Every call is logged with token counts, cost, latency, and error context — automatically.
import * as Codmir from '@codmir/sdk/ai';
const openai = Codmir.wrapOpenAI(new OpenAI());
// Every call is now tracked automaticallySee exactly what your AI agent did, step by step. Every tool call, every decision, every LLM interaction — captured in a replayable timeline you can debug like a video.
const session = Codmir.startSession({
agent: 'support-bot',
metadata: { userId: user.id },
});
// All LLM calls within this session
// are correlated and replayableCodmir scores every agent response for quality and tracks drift over time. When your agent starts hallucinating more or costs spike, you know before your users do.
// Automatic alerts — no config needed
// ⚠ Cost spike: support-bot +340% (24h)
// ⚠ Quality drop: 0.92 → 0.71 (7d avg)
// ⚠ Hallucination rate: 2% → 11%Connect your social accounts. Codmir monitors every comment, tracks engagement, and turns audience feedback into actionable suggestions — automatically.
Link your social accounts. Codmir watches every comment, reply, and mention across all platforms.
AI reads sentiment, detects feature requests, bug reports, and engagement patterns in real time.
Feedback becomes prioritized suggestions in your project — linked to the original comments.
Build what your community actually wants. Close the loop by shipping and announcing back.
“Love the SDK but really need webhook support for CI pipelines”
via X / Twitter“Been using this for 2 weeks — the session replay is incredible but mobile dashboard is lacking”
via Reddit“Great walkthrough! Can you add Python support next?”
via YouTube3 community mentions across X and Reddit. High demand signal from developer audience. Linked to existing roadmap item “Integrations.”
One subscription replaces your project tracker, error monitor, AI coding tool, and deployment pipeline.
Assign issues to AI agents that investigate, code, test, and open PRs — with your approval at every step.
Tickets move from created to in-progress to done — AI picks up work, runs the loop, and reports back.
AI-powered structural diffs, inline suggestions, and approval workflows for human and agent code alike. Routed to the right team member.
Wrap any LLM client in one line. Every call is logged with token counts, cost, latency, and errors — then replay full agent sessions step by step.
See every deploy, its status, and rollback history. Auto-link errors to the deploy that caused them.
Not around? Overseer detects the error, generates a fix, tests it, and deploys to production automatically. If the fix fails, it reverts instantly and notifies you — nothing breaks while you're away.
Every decision, deployment, and conversation is memorized. When the project drifts off course, Codmir detects patterns and auto-adjusts — surfacing risks before they become problems.
An AI assistant present in your meetings — creates tickets in realtime from conversations, or summarizes action items after.
Talk to your project naturally. Ask questions, give instructions, and get things done through voice or text.
Ultra-fast project management with voice control for PMs, founders, and team leads. Includes a native browser so IDE agents can test websites live while you watch.
AI agent workstation built on VS Code. Connect from Web or Desktop to queue tasks and run agents. The IDE controls the Desktop app via MCP for full-stack testing.
Start in the browser, stay connected on mobile. Review tickets, approve agent work, and get notified about deploys and errors from anywhere.
Most teams outgrow their tools every 18 months. Codmir is designed to be the last platform you adopt.
You + AI agents. Ship features, track errors, deploy — all from one place.
Shared context capsules, code review workflows, and deployment pipelines.
Multiple projects, role-based access, analytics dashboards, and integrations.
Replace your tool stack with one platform. Start free, scale when you need to.
Or install from your terminal
curl -fsSL https://codmir.com/install.sh | bashFree to start. No credit card required.