We use AI agents the way a power-tool shop uses a CNC machine — to take the boring, repetitive 90% off our plate so the senior people can spend their time on the work that actually requires judgment. This is what makes a $20,000/year plan deliver what used to cost $200,000.
Pair-programming agents that scaffold features, write tests, and propose changes against a private fork of your codebase.
Incident agents read logs, metrics, and traces. Most issues are diagnosed and patched before a human is paged.
Trained on your docs, your product, your tone. Answers the easy 80% of inbound and routes the rest to the right human with full context.
A standing process that evaluates every new model, framework, and tool — and ports the useful ones into your stack on our dime.
Self-healing fleet posts a digest: 14 resolved, 0 escalations. Anything weird is flagged for the morning standup.
Engineers triage agent-authored PRs from overnight. Roughly 70% merge as-is; the rest get hand-edited or rejected.
Engineers pair with coding assistants on the day's real work — design problems, novel features, the things agents can't do alone.
Each client has a Slack channel staffed by a senior engineer. Most asks become tickets in the next hour.
Reviewed PRs deploy in waves. Each release is rolled out gradually with auto-rollback on signal regression.
Customer-service, ops, and security agents stay on duty around the clock. They wake a human only when a human is required.
A senior engineer signs every merge to your repo. No exceptions.
Your data is used to retrieve answers, never to fine-tune third-party models.
If a human is doing a repeatable task more than twice, we automate it.
Standard formats, clean exports, 60-day transition support on exit.
Hourly billing rewards slowness. Flat plans reward shipping.
There is always a named human accountable for your stack.