Software Development
is Being Rewritten
The way we build software is fundamentally changing. This series explores why the traditional approach of incremental patches is giving way to specification-driven regeneration, and what this means for engineering teams, product organizations, and business strategy.
The Fire Analogy
Code burns down. What matters is what you can rebuild from the specifications.
Specification-Centric
The spec becomes the source of truth, not the implementation.
System Regeneration
Rebuild entire systems from scratch faster than patching legacy code.
AI Governance
New frameworks for managing AI-driven development at scale.
The Presentation Series
Five interconnected talks that build a complete picture of AI-driven software development
The Business Case is Never Fire
Why the "fire" analogy matters for software strategy. Traditional development treats code as an asset to protect. AI-driven development treats specifications as the true value, making code disposable and regenerable.
Rebuild, Don't Patch
A technical exploration of why regenerating systems from specs is often faster and more reliable than maintaining legacy code. Includes practical examples and architectural patterns for spec-driven development.
The Thinking Factory
How to design products and systems that leverage AI as a thinking partner, not just a code generator. Covers prompt engineering, context management, and building effective human-AI collaboration workflows.
Where Do We Go From Here?
Practical guidance for teams and organizations looking to adopt AI-driven development. Covers governance frameworks, team structures, risk management, and building organizational capability over time.
Modernize Legacy App
A real-world case study: migrating a critical Groovy system to Go using AI Spec TDD. 100 endpoints, 27K lines of code, zero specifications written. See the methodology in action.
The question isn't whether AI will change how we build software. The question is whether you'll be ready when "rebuild from spec" becomes faster than "find and fix the bug."
A New Development Paradigm
Traditional software development optimizes for code stability. We version control it, review it, test it, and carefully patch it. But what if the code itself became disposable?
This series explores a fundamental shift: moving the source of truth from code to specification. When AI can regenerate a working system from a good spec in hours, the economics of software development change entirely.
- Technical debt becomes a non-issue when you regenerate
- Specifications become the primary artifact to version and protect
- Teams shift from code maintenance to spec curation
- New governance models emerge for AI-assisted development
Specification First
Define what the system should do, not how
AI Generation
Generate implementation from specification
Validate & Ship
Test against spec, deploy with confidence
Evolve the Spec
Update spec, regenerate system
Ready to Explore?
Start with the first presentation to understand the strategic context, then work through the series to build a complete picture.
Start with Presentation 1 →