AI Hype Burnout
Why developers are exhausted by AI hype—and why genuine builders shouldn't give up on exploring what actually works beneath the noise.
Blog
Insights and practical guides on AI native development methodology
From prompts to contracts: an intro to Spec Driven Development
Spec Driven Development for AI-assisted coding: how to replace prompts with versioned specs that anchor intent.
Turning AI-Generated Mess Into a Sustainable Codebase
A practical playbook for turning “vibe-coded” prototypes into maintainable software by tracking refactor work, codifying changes into a reusable spec, and using an agent to apply the same improvements consistently across dozens of REST endpoints.
5 mistakes when starting with Agents
So you've decided to try Spec-Driven Development with AI agents. You've seen the demos, read the testimonials, and you're ready to let AI accelerate your workflow. Great! But before you dive in, let me save you some frustration: there are 5 predictable ways this will go sideways, and every developer hits at least three of them.
Working Patterns for AI Development Teams (Part 1: The Framework)
Three practical patterns for AI-assisted development: spec-driven context, evaluation-driven quality, and structured code review. Solve stale docs, overwhelming PRs, and review bottlenecks.
Working Patterns for AI Development Teams (Part 2: Implementation Guide)
Practical infrastructure, security, and adoption strategies for spec-driven context, evaluation-driven quality, and structured code review patterns.
Working Patterns for AI Development Teams (Part 3: Production Operations)
Production observability, incident response, and ROI measurement for AI development patterns at scale.
I was highly skeptical, but now I'm a believer.
How I went from AI skeptic to passionate advocate—and what finally changed my mind
Advanced Patterns for AI-Assisted Development: The ML-Informed Guide
Deep technical patterns for optimizing AI-assisted development—from attention mechanics to cost optimization, quality assurance, and robust error recovery.
Vibe Coding is not a production strategy: Keeping AI code under control
A practical look at vibe coding as an AI native failure mode: where it helps, where it quietly erodes trust boundaries and how specs and ownership keep your stack safe.
Overcoming the Human Bottleneck in AI-driven Software Development: A Feature-PR Model Proposal
An exploration of how AI accelerates software development and why human validation remains the crucial bottleneck in modern engineering.
8 Patterns for Spec-Driven Development: Getting Real Results from BMAD
Eight architectural patterns for AI-assisted development with the BMAD Method—practical techniques backed by research from Anthropic, OpenAI, and battle-tested experience.