Ship code, not tickets.
Assign a GitHub issue or Jira ticket — get a production-ready PR. Autonomous AI that reads your codebase, plans changes, implements, and self-reviews.
How it works
Three steps. That's it.
Sign up
Create an account, connect GitHub and Jira. Takes 30 seconds.
Create an issue
Write a GitHub issue or Jira ticket. Assign it to Coderhelm or add the label.
Review the PR
Coderhelm opens a PR, runs CI, and marks it ready. Request changes — it iterates.
Under the Hood
A team of agents,
not a single prompt.
Every issue triggers an orchestrated state machine. Nine specialized agents pass structured state from stage to stage — with self-healing loops and automatic retries built into the fabric.
Triage
Classifies bug vs feature vs refactor. Scores priority and complexity.
Resolve
Fetches external context — Notion docs, Figma designs, Sentry errors — via MCP tools.
Plan
Reads repo conventions and produces a step-by-step task list with file paths.
Validate
Verifies files exist, imports resolve, and scope matches the issue.
Implement
Agentic coding loop — reads files, writes code, runs commands across your repo.
Test
Runs CI. If tests fail, reads logs and auto-pushes fixes — up to 3 healing attempts.
Review
Self-reviews like a senior engineer. Loops back to Implement up to 3 times if needed.
Security
OWASP audit for injection, XSS, SSRF, and secrets. Auto-remediates violations.
Ship
Formats the PR in your team’s voice, adds test evidence, and marks ready for review.
Self-correcting review loop
When the Review Agent finds issues — logic bugs, missing edge cases, naming problems — it sends structured feedback back to Implementation. The code gets fixed and re-submitted automatically. Up to 3 loops. The result: cleaner code than most human first-pass PRs.
Agent Memory
A knowledge graph
that learns your codebase.
Every run builds a living knowledge graph of your repository. Patterns, mistakes, conventions, architecture decisions — all connected, weighted, and retrieved exactly when the agent needs them.
Learns repo structure, conventions, test runner
Knows libraries, pitfalls, preferred patterns
Domain expert. Catches bugs humans miss
How the memory engine works
Knowledge Graph
Memories are connected by typed, weighted edges. The agent traverses the graph to find related context across runs.
Semantic Search
Vector similarity search finds relevant past learnings even when the wording is different. Understands intent, not just keywords.
Contradiction Detection
When new information conflicts with existing beliefs, the engine flags it. Old knowledge is superseded, not silently overwritten.
Salience Decay
Old, irrelevant memories naturally fade. Frequently accessed knowledge stays strong. The graph stays lean and useful.
Anti-Pattern Learning
When something breaks CI or fails review, it gets stored as an anti-pattern. The agent actively avoids repeating it.
Belief Propagation
When a fact changes, related beliefs are flagged for re-evaluation. Knowledge stays consistent across the entire graph.
Memory Tiers
Working, episodic, semantic, procedural. Different memory types are stored and retrieved with purpose-built strategies.
Team Isolation
Each team’s memory is cryptographically isolated. No cross-contamination. Your code patterns stay yours.
Intake
Works where you work
Native GitHub and Jira apps. Assign an issue to Coderhelm or add a label — a PR appears automatically. Comments on PRs with live progress. Reads your feedback, pushes fixes.
- Assign issues → get PRs
- Live PR progress
- Self-healing CI
- Native Forge app
- Label + assign = PR
- Project sync
AI Plans
Talk to your codebase.
Ship a plan in seconds.
Describe what you want to build. Coderhelm's AI searches your Notion docs, reads your Figma designs, and generates an executable plan — streamed to you in real-time, token by token.
The user wants GTM added to two properties. They mentioned a GTM ID in Notion — I should search for it before generating the plan...
Found "Analytics Config" — GTM-XXXX47F
Scanned layout files — no existing GTM snippet
I found your GTM ID (GTM-XXXX47F) in the Analytics Config page on Notion. Neither repo has GTM installed yet.
Here's a 3-task plan:
Real-time streaming
See the AI think and type, token by token. No loading spinners — just answers appearing as they form.
Searches your tools
Connects to Notion, Figma, Linear, Sentry and more via MCP. Pulls in IDs, specs, and context automatically.
Live plan preview
Tasks appear in the sidebar as they stream in. Review and refine before any code is written.
One-click execute
Approve the plan and Coderhelm opens PRs for each task — in order, with full specs and tests.
Monitor
AWS Log Analyzer
Connect your AWS account in one click. Coderhelm scans your CloudWatch Logs every 6 hours, surfaces errors with severity and root cause, and turns every finding into an actionable plan.
- One-click CloudFormation setup — read-only, nothing else
- Zero logs stored — only error summaries leave your account
- Secrets auto-detected and stripped before analysis
- AI severity scoring with root-cause suggestions
- One click from finding → executable plan
OOMKilled in ecs-api-prod — container exceeded 512 MB limit
Connection refused on RDS pg-main:5432 — 28 occurrences in 1h
Lambda timeout on invoice-processor — 15s exceeded 3 times
Zero-config setup
One CloudFormation click deploys a read-only IAM role. No agents, no daemons, nothing to maintain.
Privacy first
Logs never leave your AWS account. Only aggregated error summaries are analyzed — secrets are stripped automatically.
AI recommendations
Every finding includes severity, root cause analysis, and a suggested fix — ready to become an executable plan.
Integrate
MCP Servers.
Your tools, connected.
Connect your tools so Coderhelm can pull context during planning and execution. Pull Figma designs, query Sentry errors, check Datadog metrics, or read Notion docs — all while building your PRs.
Development & Design
Monitoring & Analytics
Data & Communication
One-click setup
Enable any integration with an API key or OAuth token. No config files, no YAML.
28+ integrations
Design, monitoring, database, deployment, and more. New servers added every week.
Available everywhere
MCP servers are available during AI Plans, PR runs, and log analysis. Context flows automatically.
Encrypted credentials
All tokens encrypted at rest and tenant-isolated. Credentials never leave your organization boundary.
Security
Built for teams that don't compromise
on security.
Your code never leaves your control. Every run is fully isolated, every credential encrypted, every action auditable.
Isolated Execution
Every run executes in its own container. No shared state — one team cannot access another's data.
No Code Storage
Source code is read through the GitHub API on-demand. Never cloned to disk or stored on our servers.
Encrypted Everything
All credentials, tokens, and secrets are encrypted at rest. Team data is partitioned — cross-team access is architecturally impossible.
Open Source
Free and open source.
CoderHelm is fully open source. Self-host it, contribute, or run it as-is. Bring your own API keys and set your own token limits.
Everything included
- Public & private repos
- All passes (ticket, PR review, CI fix)
- AI plans & streaming chat
- CI self-healing & log analysis
- MCP server integrations
- Bring your own API keys
Self-host
Deploy to your own AWS account. Full control over your data, infrastructure, and costs. CDK included. Requires Jira connectors, auth, and more — launching soon.
Ready to ship faster?
Free and open source. Deploy in minutes with your own API keys.