The 777-1 Experiment
The Project That Never Ends
How 129 code reviews led to 7 specialized subagents and a new approach to AI-assisted development.
The Origin Story
After reviewing 129 AI-generated web applications, I noticed patterns. The same issues appeared again and again, regardless of how well-written the initial prompts were.
Some prompts were detailed and specific. Others were vague and lazy. But the types of issues remained consistent. Responsive design broke on mobile. State didn't persist across refreshes. Accessibility was an afterthought. Features worked in isolation but not together.
This led to a realization: prompt engineering wasn't enough. We needed context engineering.
The Insight
Seven recurring issues emerged from those 129 reviews. Each became a specialized subagent — a context engineer who provides domain-specific context just-in-time.
The Experiment Design
The 777-1 Experiment tests a hypothesis: Can we predict prompt failures before execution by understanding prompt characteristics?
The Method
7 Diverse Applications
From educational simulations to e-commerce to gaming — different categories, different complexity levels.
Sequential Review
Each application reviewed by all 7 subagents in a specific order, because later context depends on earlier context.
Git Documentation
Every transformation documented via Git commits for full transparency and pattern extraction.
Pattern Extraction
Analyzing the transformations to build a failure prediction algorithm that keeps improving.
Why This Order Matters
The subagents execute in a specific sequence because later context depends on earlier context. Amber (responsive design) goes first because layout affects everything. Cassandra (cross-feature integration) goes last because she needs to see how all features work together.
The Timeline
129 code reviews analyzed
Systematic analysis of AI-generated web applications to identify recurring issues.
7 subagent specifications created
Each recurring issue became a specialized subagent with clear responsibilities.
7 projects selected
Diverse applications chosen to test different aspects of context engineering.
Experiments in progress
Systematic transformation of each project through all 7 subagents.
Algorithm development
Extract patterns to predict prompt failures before execution.
Continuous iteration
The project that never ends - every new project adds data and refines the algorithm.
Why "The Project That Never Ends"
Seven projects will give us directional insights, not statistical rigor. That's intentional. This is Phase 1 of an ongoing experiment.
Every new project adds data. Every new pattern refines the algorithm. The goal isn't perfection — it's continuous improvement.
Future phases will expand beyond Next.js, test different frameworks, explore new application types, and push the boundaries of what context engineering can achieve.