Everything about ai-development
14 connected nodes across dictionary, workflows, comparisons, prompts, tool stacks and use cases.
Coding Agent
A coding agent reads a repository, plans a change, edits files, runs tests and iterates until the task passes — instead of just suggesting snippets.
AI Software Engineering
AI software engineering is the practice of building software where agents write most of the code and humans own architecture, review and verification.
AI Testing
AI testing covers two things: using AI to generate and maintain tests, and testing AI systems whose output is non-deterministic.
Context Engineering
Context engineering is the discipline of deciding exactly what information enters a model's context window, in what order and at what cost.
Run a Coding Agent on a Real Codebase Safely
Give an agent write access without letting it wreck main.
Build an AI Code Review Loop
Catch what agents get wrong before a human reads the PR.
Build a Test Suite for a Non-Deterministic AI Feature
Grade probabilistic output without brittle snapshot tests.
Coding Agent Task Spec Prompt
Writes the task brief that keeps a coding agent inside scope.
AI Code Review Rubric Prompt
A reviewer prompt that finds real defects instead of style opinions.
AI Test Generation Prompt
Generates behavioural tests and edge cases, not tautologies.
Coding Agent Stack
Run coding agents with executable feedback and reviewable diffs.
AI Testing Stack
Test deterministic code and probabilistic AI output in one pipeline.