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AI Assisted Methodology

Disciplined AI-assisted development for engineering teams. Transform how your team builds software with AI — not by replacing engineers, but by making them dramatically more effective.

The Challenge

AI Tools Without Discipline Create Chaos

Most teams adopt AI coding tools without methodology. The result: inconsistent code, lost context between sessions, and technical debt that compounds faster than ever.

Context Loss

Every AI session starts from zero. No memory of what was built yesterday, what was tried and failed, or why decisions were made.

No Quality Standards

AI generates code that works today but creates maintenance nightmares. No enforcement of team standards, naming conventions, or security rules.

Tribal Knowledge

Critical knowledge lives in developers' heads. When they leave, the AI can't reconstruct what they knew.

Methodology

Four Pillars of Disciplined AI Development

1. Persistent Context

AI sessions read structured documentation — CLAUDE.md files, process docs, and knowledge bases — so every session starts with full project understanding. No more re-explaining your architecture.

2. Mode Separation

Plan before you build. Disciplined separation between research, planning, and implementation modes prevents the AI from writing code without understanding requirements.

3. Process Documentation

Eight document types replace tribal knowledge: BIBLE, KNOWLEDGE, HOW-TO, PROCESS, AUDIT, PLAN, TRACKER, and HANDOVER. Every piece of knowledge has a clear home.

4. Lessons Learned

Bugs and incidents become permanent knowledge. AUDIT docs capture root causes, KNOWLEDGE docs capture hard-won discoveries. The AI gets smarter with every session.

The Complete Framework

Beyond Vibe Coding: The Anti-Vibe Methodology

A comprehensive visual guide to the methodology — from the Four Pillars of Discipline to the Seven-Agent Development Team.

Click to enlarge

Agent Model

Seven AI Agents, One Disciplined Team

The methodology defines seven specialized AI agents that operate with different contexts, tools, and priorities.

Orchestrator

Task routing & coordination

Backend

Lambda, API, security

Database

DynamoDB, multi-tenant

Frontend

React, Tailwind, UI

DevOps

Deployments, CI/CD

Documentation

Process docs, knowledge

Testing

Validation, security

Priority

Security > Data > Docs > Perf > Features

Formats

From Keynote to Enterprise Bootcamp

Conference Keynote

45-60 minutes

High-energy introduction to the methodology. Perfect for tech conferences, leadership summits, and all-hands meetings.

Audience: CTOs, engineering leads, decision makers

Half-Day Workshop

4 hours

Hands-on introduction covering the Four Pillars and Seven Rules. Participants build a real project structure.

Audience: Development teams exploring AI tools

Full-Day Intensive

8 hours

Complete methodology deep-dive with live build exercise. Teams leave with a configured Claude Code environment and starter kit.

Audience: Teams actively using AI tools

2-Day Enterprise Bootcamp

16 hours

Full methodology plus custom agent configuration, team workflows, and integration with existing processes. Includes ongoing support.

Audience: Enterprise engineering organizations

Who It's For

Built for Teams That Take Engineering Seriously

Engineering teams adopting Claude Code or similar AI tools
CTOs and technical leaders responsible for AI adoption strategy
Organizations concerned about code quality in AI-assisted development
Teams experiencing context loss between AI sessions
Companies that want AI to enforce standards, not ignore them
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Training Formats
From 45 min keynote to 2-day bootcamp
4
Pillars
7
AI Agents

Transform your team's AI development workflow

Whether it's a keynote at your next conference or a 2-day bootcamp for your engineering team, we'll design the right program.