7 docs tagged with "coding-agents"

How coding agents read, navigate, and surgically modify existing codebases: edit strategies, minimal diffs, regression prevention, and multi-file coordination.

Build a complete, functional coding agent from scratch in Python. Architecture decisions, repo maps, context management, system prompts, safety, and the full 500-line agent.

Deep dive into coding agent architecture: how agents navigate codebases, plan edits, execute changes, and iterate using test feedback.

Coding agents are the most commercially successful form of agentic AI. Learn how GitHub Copilot, Cursor, Devin, and Claude Code work under the hood.

How to evaluate coding agents: SWE-bench, SWE-bench Verified, SOTA numbers, failure modes, and building your own evaluation harness.

The most powerful technique for coding agents: use test output as the ground truth feedback signal. TDD loops, pytest integration, output parsing, and backtracking.

Complete coding agent tool set: file operations, bash execution, search, git integration, LSP queries - full implementations with safety and error handling.