Free Research Guide
Failure and Harness
Engineering for AI Agents
Why industry estimates suggest approximately 90% of AI-built apps never reach production — and the engineering pattern that fixes it.
Based on research from 13 public benchmarks, 100 real-world code-repair tasks (a subset of SWE-bench Pro's 731), and $4.7B market analysis.
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What you'll learn
Six chapters of research-backed engineering
Chapter 1
The 80/20 Wall
AI gets you 80% of a working app at extraordinary speed. The last 20% is where projects die. Market data on why, and what to do about it.
Chapter 2
Why AI Code Fails
40-62% of AI-generated code has security vulnerabilities. The confidence problem, context amnesia, and the fix-one-break-ten pattern.
Chapter 3
Harness Engineering 101
The four layers between model and production: verification, memory, safety, and improvement. Why the harness matters more than the model.
Chapter 4
Failure Diagnosis Patterns
Five patterns from SWE-Bench Pro: understand before fixing, know what correct means, verify before shipping, understand why fixes fail, learn from patterns.
Chapter 5
Self-Training Without Fine-Tuning
How G6 improves task success without changing the model. Graduated autonomy from T0 (supervised) to T3 (autonomous). Real benchmark results.
Chapter 6
Getting Started
Install G6 in one command. Run your first workflow. See the diagnosis report. Watch it improve. Your free trial is already active.
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