Stop Running the SDLC on Models That Aren't Human
The SDLC is 60 years of defenses against human failure modes. Models fail differently, and some of their flaws are superpowers wearing bug costumes.
Two Human Gates and Everything Between Is Machine-Checked
Eight phases, exactly two mandatory human moments, deterministic gates between everything, and a spend curve shaped like a barbell.
Tests Are the Spec in the Only Language the Builder Can't Argue With
Rails: why TDD becomes the load-bearing trust mechanism of agentic development, why the builder must never touch its own tests, and a field catalog of how agents game gates.
More Writing
ADLC vs. the Enterprise SDLC
A practical comparison between the Agentic Development Lifecycle and the traditional enterprise software development lifecycle: advantages, disadvantages, and where the two overlap.
Prosecuting the Gates
I practiced what I preach and aimed the lifecycle's own prosecution phase at the toolkit that enforces it. Hardening my own gates surfaced the builder blind spots that normal testing missed—and proved why multi-layered structures, not trust, are the only way to ship reliable agentic software.
Adversarial Review: For All, By All
adversarial-review brings skeptical, model-agnostic code review to your harness as the /adversarial-review skill, and to CI as a zero-dependency CLI. Either way, an independent LLM closes the loop the creator agent cannot close for itself.
Skill Mining: Extracting What Your Codebase Already Knows
Your codebase already encodes how your team builds. Skill mining extracts that latent know-how into reusable agent skills. Here is the loop.
Code Review Is Not Visual Review
AI coding agents are very good at producing working code quickly. The harder problem is whether that code has the right visual shape. I built gemini-plugin-cc to bring Gemini into the workflow as a design-review companion for Claude Code and agent skills.
The Missing Quality Toolkit for Agent Skills
skill-versions solved staleness. But staleness was just the first symptom. Every package ecosystem — CPAN, RubyGems, PyPI, npm, Cargo — eventually builds the same quality infrastructure. Agent skills are just the next language. Meet skills-check.
Your Agent's Knowledge Has a Shelf Life
Your Agent's Knowledge Has a Shelf Life and every day you ignore it, your agents and skills are likely drifting into error land or worse, silent failures. But we have seen this play before and I propose a fix for it. Meet skill-versions.com
The Evolution of Machine Learning: Why Performance Now Matters More Than Ever
As machine learning models grow to trillion-parameter scale, performance optimization becomes critical. Traditional tools like Python now create bottlenecks, driving the shift toward High-Performance Machine Learning.
The Reality of Generative AI: How Poor Data Practices Are The Real Roadblock to Digital Transformation
Unlock business innovation with generative AI by overcoming data challenges. Learn key strategies for effective data management, quality, and governance to enhance decision-making and drive success. Dive into our guide on building a solid data foundation for AI transformation.