Step 1 — Feature Creation
Start with a real problem
Describe a bug, feature, or idea. AI Expedite turns it into a structured feature with clear scope and context.
Feature created automatically
AI agents build your features — in parallel
Orchestrating Claude Code and Codex across your team's machines to implement, test, and iterate until it works.
Built by a former Amazon Principal PM
Work moves forward — automatically
AI agents don't just generate code. They move features through your workflow — from requirements to design to implementation and deployment.
Multiple features can progress at the same time, each handled by distributed agents across your team's machines.
Not one task at a time — a system running in parallel.
Inside the platform
What this actually looks like
Step 2 — Design
AI designs the solution
Generates structured design docs, identifies edge cases, and maps out how the system should behave.
Not just text — actual system thinking.
Design docs with diagrams
Step 3 — Implement
AI agents build in parallel
AI agents implement features across your team's machines using Claude Code and Codex.
- Write code
- Run UI tests
- Fix failures
- Iterate until everything passes
It doesn't stop at code — it finishes the job.
Agents running in parallel — code, tests, fixes
Step 4 — Deploy
Ready to ship
Once tests pass, your feature is ready for deployment — no handoffs, no waiting.
One click to ship
without switching tools or coordinating teams.
This isn't AI assistance. It's execution.
Traditional tools
- Suggest code
- One task at a time
- Stop at output
- Require coordination
- Manual testing
AI Expedite
- Builds features
- Runs in parallel across machines
- Iterates until it works
- Orchestrates automatically
- Runs UI tests continuously
Most tools assist developers.
AI Expedite executes the work.
Built on real infrastructure
- Powered by Claude Code and Codex agents
- Runs across your team's machines
- Integrated with your real codebase
- Executes and validates changes automatically