Your team bought AI coding tools. Where's the 3x output?

Most engineering teams see AI-generated code die in PR review hell. We help mid-sized teams (100+ devs) get agentic coding actually working. So coding tasks that used to take a lunch break, take a coffee break.

Book a 15-min call

No pitch, no pressure — just clarity.

What's actually blocking your AI coding ROI

AI generates code. CI breaks it.

Your agents produce code fast — but your test suite, linters, and architecture checks can't keep up. Every PR becomes a firefight.

Engineers use AI. Managers don't see gains.

Productivity improvements get absorbed: engineers tackle harder tasks with the time saved, so throughput looks flat. The investment isn't visible.

You can't scale senior review.

AI generates 10x the PR volume. Your seniors can't review fast enough to catch architectural decay. The codebase erodes.

How we fix it

We install the methodology and architectural enforcement that makes agentic coding actually work.

Fast Feedback Loops

Agents iterate autonomously

Unit tests, linters, and architecture checks that run in seconds — so agents can self-correct without waiting on humans.

Deterministic Enforcement

No more "senior reviews everything"

Automated architecture validation at PR time. Structural rules are enforced by code, not calendar availability.

Parallel Task Flow

3–6 agent tasks at once

Engineers run multiple agent tasks simultaneously. Prompt, walk away, come back to merged code.

Specification-Driven Development

Plain English spec → working code

Write a spec in plain English. It becomes unit tests. The agent fixes code until every test passes. SDD.

What this looks like in practice

Backend

A mid-stage engineering team completed a database endpoint — with tests, monitoring, and access control — by prompting an agent and coming back after lunch. With our setup, that same task takes a coffee break.

Before

Lunch break

After

Coffee break

Integration

Integrated a complex mathematical LaTeX rendering library — evaluating multiple libraries and resolving several corner cases — in under one hour.

Before

Days of research + integration

After

Under 1 hour

DevOps

An agent created production-ready Docker images — multi-stage builds, security hardening, and CI pipeline integration — autonomously, with zero hand-holding.

Before

Half-day of DevOps time

After

Coffee break

This is for you if:

Let's see if it fits

We'll ask a few questions about your codebase setup and tell you if this approach is a fit. No pitch, no pressure — just clarity on what's blocking you.

Book a 15-min call