Nothing ships without being checked.

Agentic systems for teams already using AI

Agents that review, audit and block before anything reaches production.

An extra layer on top of your team: it reviews every change, checks it for security, and stops the dangerous ones before they run. The same system that runs my own work.

A reviewer on every change

A security gate before code ships

Memory that survives between sessions

Rules that block dangerous actions before they run

01

We agree what we're cutting

Free, before anything starts. You show me how you ship, I name the risk and review time it is costing, and what I can cut.

02

I set it up inside your own stack

In your CI, on your rules. No black box.

03

Your team owns it, documented

It stays working when I step away.

This is not theory. It is deployed and running today: review agents voting on every change, a security gate against prompt injection, 550+ tests. This site was built the same way, then attacked by my own agents. You are reading what survived.

  • Multi-agent dev harness: tool-scoped review agents (architecture, operational, security, planning) that vote on every change in sequence, plus a knowledge-graph code index agents query instead of grepping raw source
  • Tiered context system: a controlled-vocabulary glossary, numbered session-handoff docs, and per-agent persistent memory with automated nightly consolidation, so any fresh AI session rebuilds full project state without re-reading the codebase
  • Append-only decision log (60+ locked ADRs), plus a security gate that vets every third-party agent or skill for prompt injection before it touches disk
  • Four-stage CI: 550+ hermetic tests with coverage, SonarQube, per-PR preview builds, and an automated AI code-review gate, behind push-to-main and secret-exfiltration guard hooks

Three hubs, one system that compounds.

AI work spread across many repos used to lose context and repeat the same setup every time. I built three coordinated hubs instead: a context hub for projects, handoffs, and learnings, a reusable skills and agents library, and a knowledge base, with a weekly maintainer that runs unattended. A new repo starts with the system already installed, and every project makes the next one faster.

  • Persistent handoffs and a project index, so context survives between sessions
  • A skill-promotion system: reuse upward, never copy sideways
  • A weekly maintainer that reviews and repairs the system unattended
Knowledge graph29 sec
Projects, skills, lessons, linked
Recorded graph view of the actual system: every project, reusable skill, and lesson learned, linked as one compounding knowledge base.

The team behind one person

I don't build alone.

  • Security auditor

    Attacks the code for holes before it ships.

  • Reviewer

    Reads every change and votes to pass or fail.

  • UX critic

    Tears the interface and copy apart.

  • Debugger

    Isolates what broke, fast.

  • Builder

    Writes it, then runs the checks.

Plus rules that block dangerous actions before they run.

The handoff

It becomes your team's system, in your CI, documented. Not a black box that leaves when I do.

Tell me about your team
AI systems · Marwane Ait Yahia