Software factories, product builders, and AI-native teams all run on one thing: a spec people can trust. These articles cover the research, the data, and the practice of governing it.
Spec-driven development is a way of building software where a written spec, not a chat prompt, tells AI coding agents what to build and why. The spec becomes the source of truth that humans review and agents follow.
Read the articleVibe coding vs spec-driven development is not a fight. Vibe coding is great for prototypes and throwaway tools, while specs are what you need once real users, real data, or a team depend on the code. Here is where each breaks and how to graduate from one to the other.
Read the articleA PRD for AI coding agents is a short, testable requirements document that tells an agent who a change is for, why it matters, what is in and out of scope, and how to prove it works. Here is what to include, how long to make it, and a free template.
Read the articleA product builder owns a feature from problem to shipped code, writing the spec, directing AI agents, and verifying the result. Here is the skills matrix, job description template, interview questions, take-home exercise, and team design to hire one.
Read the articleSpec drift is what happens when a team's spec splits into competing versions and the code follows whichever one an agent read last. Here is how it starts, how to spot it, what it costs, and how to stop it.
Read the articleDecision records are short documents that capture what a team decided, why, and what it costs. AI agents now propose more spec changes than people can track, so every change needs a record of who proposed it, who approved it, and why.
Read the articleA software factory is an automated pipeline where AI coding agents take work through structured steps: intake, spec, build, verify, and ship. Humans set intent and approve gates while agents do the typing. The spec decides what the factory builds.
Read the articleA product builder is one person who decides what to build and then builds it, using AI coding agents to cover the engineering work. The role merges product management and software engineering, and AI-native companies are hiring for it now.
Read the articleAI-native companies are startups built around AI agents from day one, and many have everyone coding. Designers, marketers, and founders ship changes with Claude Code and Cursor, so the question shifts from who can code to who checks the work.
Read the article
