Engineering methodology that makes AI coding reliable
Wrought brings structured engineering methodology to AI-powered development — so you ship reliable software, not prompt experiments.
In active development · Built with Wrought
How It Works
Three pipelines, one methodology
Incidents & Bug Fixes
From incident to verified fix — structured methodology at every stage
Incident
Document the incident — classify severity, identify affected components, and capture the timeline.
Investigate
Form hypotheses, trace execution paths, and narrow down the failure domain through structured analysis.
RCA & Fix
Root cause analysis and fix design — examine code paths, state transitions, and edge cases.
Implement
Apply the fix — produce correct, tested code with built-in verification loops.
Review
Multi-agent code review — parallel analysis of correctness, performance, security, and architecture.
Incident
Document the incident — classify severity, identify affected components, and capture the timeline.
Investigate
Form hypotheses, trace execution paths, and narrow down the failure domain through structured analysis.
RCA & Fix
Root cause analysis and fix design — examine code paths, state transitions, and edge cases.
Implement
Apply the fix — produce correct, tested code with built-in verification loops.
Review
Multi-agent code review — parallel analysis of correctness, performance, security, and architecture.
Why Wrought
A better approach to AI engineering
The Problem
AI tools treat every task the same
- ✗ One model handles architecture, debugging, testing, and reviews — badly at some, expensively at all
- ✗ No methodology — just raw prompts with no structured engineering process
- ✗ You're the orchestrator, manually switching between tools and context
The Solution
Wrought brings structured methodology to every engineering task
- ✓ Structured methodology — each pipeline stage applies proven engineering practices for the task
- ✓ Structured methodology — reactive, proactive, and audit pipelines with proven engineering stages
- ✓ Guided orchestration — Wrought enforces methodology and suggests next steps, you make the engineering decisions
From the Blog
Building in public
From Zero to Production: An Artemis II 3D Tracker Built in One Session
How the Wrought pipeline turned a live NASA mission into a production 3D web app — with every decision documented and every critical bug caught before deploy.
73 Sessions of Building an AI Tool With AI — What Actually Worked
73 sessions building an AI tool with AI. What worked, what didn't, and why methodology matters more than capability.
Building Wrought with Wrought: An Introduction
Why we're building an AI engineering methodology platform in public — and what it means for the future of software development.
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