Enviera

HOW WE BUILD

AI coding agents write the code. A senior engineer decides what ships.

We run our own fleet of AI coding agents. Each one works a ticket in its own isolated environment and opens a pull request. Models from different families review that change independently, automated tests run against it, and an engineer who is accountable for the work makes the call.

THE FLEET, AS OF SEPTEMBER 24, 2026

agent sessions in the last 30 days
712
merged pull requests
598
codebases
14

Read from our orchestrator, the system that dispatches the agents and tracks every ticket and pull request they touch.

THE PIPELINE

Every Change Takes the Same Road

  1. 1. BriefEngineer + client
  2. 2. BuildAI coding agent
  3. 3. ReviewDifferent model families
  4. 4. TestAutomated end-to-end
  5. 5. Sign-offSenior engineer

More detail on each gate is on how we guarantee quality.

A REAL REVIEW

When the Models Disagreed

From a change to our own orchestrator, July 2026, quoted from the pull request and lightly shortened.

Review · two models, split verdict

Split verdict. Claude Code (worktree) approves; Codex (diff-only) requests changes.

Claude Code · approve

Ran the type checks and tests, confirmed the safety check sat in the right place, and raised two non-blocking issues, including one where a typo in configuration would have switched a feature on instead of off.

Codex · request changes

Found that the code did not do what the pull request said it did: names the description promised would be rejected were in fact accepted, and no test covered the case. Suggested a stricter check.

The engineer's call

Codex was right about the facts and wrong about the fix. The stricter check would have failed open: anything it didn't recognise would have been treated as trusted. The engineer overruled the suggested fix, kept the safe behaviour as the documented contract, added the missing test, corrected the description, and fixed both of Claude Code's issues too.

Matching broadly fails safe … while [the suggested check] would fail open.

Agreement between models is cheap. What you're paying for is a process that notices when they disagree, and a person who is accountable for the decision.

Need more shipped than your team can build?

The same fleet and the same gates work on your codebase, under your review.