Spec-Driven AI Development
Better agent-produced software starts long before the first line of code, and confidence requires more than a passing test suite. This ebook brings together four expert chapters on expressing intent, writing durable specifications, testing according to risk, and evaluating code you didn’t write. It’s an excellent starting point for anyone ready to replace guesswork with a practical foundation for directing agents, reviewing their work, and building dependable software faster.
Download the Spec-Driven AI Development ebook for free!
What you'll learn:
- Give coding agents clearer direction by communicating purpose, desired outcomes, and constraints
- Reduce ambiguity and lost context with durable, human-reviewable specifications
- Turn business needs and technical decisions into focused plans that agents can follow
- Build leaner test suites that target real risks instead of chasing coverage numbers
- Catch defects earlier while avoiding brittle and flaky tests that create extra work
- Make confident release decisions by evaluating agent-generated code with strong, relevant evidence
Get all 3 ebooks for $99.99 here!
Spec-Driven Development
For AI coding agents, accurately specifying your intent is the whole ballgame! Spec-Driven Development: Engineering with intent teaches you how to close the gap between what you mean and what your agents actually build. In this practical, tool-agnostic playbook, author Hari Krishnan shows you how to make your intent clear through structured specifications and then make those specs the primary control surface for your projects, rather than the code itself.
Build High Value Software Systems
It’s never been easier to generate high-quality code quickly. Most delay, waste, and fragility in software development persists because end-to-end delivery systems are burdened with unnecessary steps, complex infrastructure, and needless ceremony. Build High Value Software Systems introduces an AI-aware systems thinking approach adapted for the modern software development lifecycle, targeting the bottlenecks where high-value improvements live.
Vibe Engineering
Vibe Engineering lays out a provider-agnostic framework that’s focused on small, easily comprehensible code increments. Fully illustrated with real-world scenarios, it explores industry use cases, from modernizing a legacy codebase to implementing Continuous AI Development. You’ll learn how to keep the benefits of speed and efficiency AI-assisted coding can deliver without sacrificing accuracy, maintainability, or trust.