Rules agents follow
Repository instructions written for agents, so their output matches how your team builds.
Agentic development · for software teams
Ship more with the engineers you have.
CoEdify helps software teams use AI coding agents like Claude Code, Codex and Cursor on real delivery work. We add the rules, tests and reviews that decide what's safe to merge, and prove them on a real piece of your roadmap.
First working version in two weeks. If it doesn't satisfy you, you don't pay for it.
Sound familiar?
- Your engineers use Claude Code, Codex or Cursor, but results vary from person to person.
- Agents write code faster than your team can review it.
- Tests pass, and you're not sure they test the right thing.
- Parallel agent sessions step on each other, or on shared environments.
What we set up
Specs before code
Acceptance criteria for every change, so everyone knows what done means before an agent starts.
Checks that catch real failures
Tests and CI gates that fail when behavior breaks, not only when the code stops compiling.
Independent review
A second agent or an engineer reviews each change against the spec, not against the agent's own summary.
People approve what matters
Human sign-off where it counts: architecture, security and anything going to production.
Parallel work without collisions
Isolated sessions and environments, so several agents can work at the same time.
How it works, step by step.
Look at how you work today
We review your repository, your CI and how your team uses agents now, and pick one real deliverable from your roadmap.
Install the system
We put the rules, checks, reviews and approval steps in place, shaped around your codebase.
Prove it on real work
The deliverable is built through the new system in the first two weeks, so you judge it in your own environment.
Measure and decide
We measure the result in your codebase before anyone claims a speed-up. Then you decide what comes next.
We build our own products this way.
- 266
- pull requests merged into revsko in one week (September 2026)
- 325
- automated check runs that week
- 66
- times the checks stopped the work
On our own products, AI agents write the code. A separate AI reviews every change, and the tests must pass before it merges. Before one launch, the AI found a written rule with no test proving it; the test it then wrote exposed a real bug, fixed the same day, before any customer saw it. A person decides what goes live.
Free kit
The agentic coding verification kit. The repository rules, pull request template and independent-review prompt we use ourselves. Copy them into your repo today.
Get the kitRead before you call.
How to verify agent-written code before production
When one coding agent writes the code, the tests, and the summary, all three can share the same wrong assumption and still pass. Give reviewers evidence that does not come from that agent: a test shown to fail when the behavior breaks, a separate reviewer session, and an isolated environment. Start with one release-critical behavior, using the free kit.
Why coding agents break legacy code, and how to fix it
Coding agents break legacy code because it has no tests to tell them a change is wrong. Before an agent refactors, map the dependencies, pin today's behavior with characterization tests, and change one seam at a time. Then the agent speeds up the mechanical work instead of guessing.
Write the spec first: coding agents need more than a prompt
A prompt tells a coding agent what to build now, not what must stay true. For production work, write a short spec first: scope, interface, limits, failure cases, and how you will check the result. Then build in small slices and review each one against the spec.
Straight answers.
Something else on your mind? Email hello@coedify.com.
Which coding agents do you work with?
Claude Code, Codex, Cursor and similar tools. We shape the system around what your team already uses.
Is this training?
No. We implement the system in your repository and prove it on real work. Your team learns it by using it.
Will agents replace our engineers?
No. Engineers write the specs, own the architecture and approve what ships. The system makes their judgment count for more.
Do you promise a productivity number?
No. We measure where you start and what changes in your own codebase, then show you the evidence.
What do you need from us?
Access to the repository and CI, one real deliverable, and an engineer who can review work and make decisions.
Who owns what you set up in our repository?
You do. The rules, tests, templates and any code we write are yours, and we sign an NDA before we start.
Tell us what's slowing your team down.
You'll talk to Nadeem, our founder, and get a straight answer on what AI can and can't do for your team.
Md NadeemFounder & CEO, CoEdify
If the first two-week phase doesn't satisfy you, you don't pay for it.