Tag: intent.md
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Agentic AI 101: From Punched Cards to intent.md
Agentic AI 101 starts with a punched card. In the 1970s only computer scientists could tell a computer what to do. Then programmers could, then business users could through screens IT built. Now the business user writes intent.md and an agent does the rest. Fifty years, one boundary, and a governance lesson at the end.
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Agentic AI Code Review: Intent, Not Diff
What is agentic AI code review? Agentic AI code review is how a team checks code that an agent wrote before it ships. The human stops reading every line and reviews the intent, the evals and the scope of the change, while review agents scan the diff first. One thing stays fixed: a named person…
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Agentic AI SDLC vs Traditional SDLC: What Changes
An agentic AI SDLC is a software development lifecycle in which AI agents, not developers, execute the work inside each phase, and humans move to setting intent, approving plans, reviewing outcomes and governing the loop. That one sentence is the whole difference from the lifecycle most enterprises still run. In a traditional SDLC a person…
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What is Agentic AI Hook? Control an Agent Cannot Talk Its Way Past
Definition: An agentic AI hook is deterministic code that runs at a fixed point in an AI agent’s loop and returns one of three answers: allow the action, block it, or stop and ask a named human. It is the one control in the agentic SDLC that decides an outcome instead of influencing one. Everything…
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What Is intent.md? Treat It as a Regulated Record from Day One
In practice the intent stage produces one artifact, intent.md, which I treat as a regulated record from day one. An intent.md is a short, version-controlled Markdown file that records the ask, the reason behind it, and the constraints it has to respect — committed before anyone designs or builds anything. It is the file Claude Code…