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In production

What governed AI looks like running live

Not a demo. Not a prototype. This is the same three-layer stack I build for clients, running against real engineering data: connectors feeding it, domain knowledge steering it, and specialist agents detecting patterns humans miss.

Layer 1

Connect

MCP connectors feed live data in (Git history, issue trackers, internal APIs) through governed, identity-aware access.

Layer 2

Teach

Domain knowledge and steering give the agents context: what the metrics mean, what the workflows are, what good looks like.

Layer 3

Orchestrate

Specialist agents activate on quantitative markers, each grounded in validated behavioral research, then synthesize findings into a narrative.

The agents doing the work

These are agents I’ve built and deployed. Not a wishlist. They handle codebase analysis, documentation, security, infrastructure, and operations work, and they’re what the orchestration layer routes to when it detects work that needs doing.

Showing 31 agents

Documentation Generator

Keeps architecture, dependency, and setup documentation current by analyzing the code directly, so docs don’t lag behind the codebase

ADR Generator

Creates Architecture Decision Records from significant changesets using git history and LLM synthesis

Git History Analyzer

Parses git log, groups commits into logical changesets, and identifies significant architectural changes

RAG Answer Agent

Answers questions from your knowledge base using retrieval-augmented generation with source citations

Onboarding Guide Agent

Turns architecture docs and codebase analysis into structured onboarding guides, so new engineers ramp up in days, not weeks

Changelog Agent

Transforms grouped changesets into user-facing release notes with categorized entries

Frontend Builder

Generates frontend components and pages from architecture specs and design requirements

DB Builder

Generates database schemas, migrations, and query layers from data model specifications

Firebase Builder

Scaffolds Firebase projects with Firestore rules, Cloud Functions, and hosting configuration

Lambda Builder

Generates AWS Lambda functions with proper handlers, IAM policies, and deployment configs

Frontend Agent

Analyzes frontend codebases for component patterns, UI frameworks, and rendering strategies

Test Agent

Generates unit and integration tests based on code analysis and coverage gaps

QA Agent

Reviews builder output against specs, triggers revision cycles with feedback until acceptance criteria pass

PR Review Agent

Reviews pull request diffs for correctness, performance issues, and adherence to team conventions

Architecture Agent

Maps architectural patterns, layer structures, auth strategies, and multi-tenancy in codebases

Data Discovery Agent

Scans codebases to identify BigQuery schemas, API endpoints, query patterns, and data gaps

Code Reusability Agent

Identifies reusable components, API patterns, utilities, and coding conventions across a codebase

Dependency Agent

Scans package manifests for outdated, vulnerable, or copyleft-licensed dependencies

Database Agent

Analyzes database schemas, relationships, indexes, and constraints from codebase artifacts

API Agent

Discovers API routes, HTTP methods, auth requirements, and OpenAPI specs across a codebase

Testing Analysis Agent

Evaluates test coverage, identifies untested modules, and reports code-to-test ratios

Cost Estimator Agent

Estimates monthly infrastructure spend based on detected cloud services, databases, and compute resources

Migration Planner Agent

Sequences architecture transitions with risk assessment and rollback strategies, so no one has to write the migration plan by hand

Performance Agent

Finds N+1 queries, missing indexes, unbounded loops, and pagination gaps across your codebase before they slow down users

Security Agent

Scans for hardcoded secrets, auth weaknesses, input validation gaps, and dependency vulnerabilities before they ship

Generation Security Agent

Validates AI-generated code for security risks before it reaches production

License Compliance Agent

Cross-references dependencies against license policies and produces pass/fail compliance reports

Digital Marketing Agent

Runs SEO audits, identifies content gaps, and drafts keyword strategies matched to your positioning

SEO Audit Agent

Ingests sitemaps and page HTML to surface missing meta tags, broken links, and Core Web Vitals issues

Report Synthesizer

Consolidates outputs from all analysis agents into structured markdown reports with severity-ranked issues and recommended next steps

DevOps Agent

Analyzes CI/CD pipelines, containerization, IaC tools, and environment configuration patterns

See how this applies to your team

Book a free call and I’ll map which layers of this stack would move the needle for your team.

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