Spec-Driven Development
Build software
that converges.
SJD Labs is a research studio proving that one developer with the right methodology can produce enterprise-quality software — systematically, reproducibly, and at scale.
Failure Mode Convergence — 10 Trials
10
Trials
30
Applications Built
34
Failure Modes Resolved
Problem
AI-generated code fails unpredictably.
Every developer using AI has experienced it: code that looks right but breaks in production. No tests. Wrong patterns. Security holes. The industry treats this as inevitable — just 'AI being AI.'
Method
Systematic specification before generation.
SDD inverts the problem. Instead of generating code and hoping, you specify contracts, interfaces, and integration points first — then generate implementations that must satisfy those specifications. Every failure mode is tracked, categorized, and eliminated.
Result
34 failure modes. Zero remaining.
Across 10 trials and 30 applications, SDD converged from build-breaking structural failures to zero new code-quality findings. The methodology is self-correcting: each failure discovered in one trial is permanently eliminated in the next.
What I do
SJD Labs operates at the intersection of research and production — building real software while advancing the methodology that makes it possible.
Build
Production applications built with SDD methodology. Full-stack NestJS + React systems with 100% convention compliance.
- Enterprise backends
- API design
- Database architecture
- CI/CD pipelines
Learn
The research data is public — every trial, every score, every convergence curve. The full methodology is available on request.
- SDD v11.0 methodology
- Trial documentation
- Convergence analysis
- Best practices
Explore
Research into AI-assisted development patterns, specification-first workflows, and systematic quality assurance.
- AI code quality
- Specification patterns
- Failure mode analysis
- Convergence theory
Convergence data
Every chart below is generated from real trial data. 10 iterations, 30 applications, 34 failure modes tracked to resolution.
Failure Mode Discovery + Cumulative
Score Trajectory
New Failures Per Trial
Severity Tier Progression
Production work
Applications built using Spec-Driven Development. All source code is public.
About
Stephen Deslate
Software engineer and researcher. Built 30 enterprise applications across 10 controlled trials to prove that AI-generated code can achieve systematic, reproducible quality — not through hope, but through methodology.
Full bio →Role
Founder & Researcher
Focus
SDD Methodology
Company
SJD Labs LLC