Claude Code vs Cursor vs Aider: Which Coding Agent in 2026?
Three AI coding agents, three workflows. Side-by-side: pricing, model choice, context window handling, agentic loops, real PR throughput.
Building, debugging and shipping AI agents that actually work.
8 working guides in this section.
Three AI coding agents, three workflows. Side-by-side: pricing, model choice, context window handling, agentic loops, real PR throughput.
End-to-end build: ticket triage, knowledge-base RAG, human handoff. Stack, code, and the real edge cases that broke the first version.
API-level comparison: file handling, code interpreter, threads, tool definitions, streaming. When each one is the right pick.
Working repo: agent reviews PRs, leaves inline comments, blocks on critical issues. Prompt, system instructions, GitHub Actions wiring.
When you actually need a framework, which one and why. Lock-in risk, debugging story, production posture.
Real production voice agent for a small business: latency budget, barge-in, prompt routing, fallback paths.
Three agentic patterns, three failure modes. Which one to pick for which task and why hybrid usually wins.
Working patterns for agent memory: scratch buffers, episodic logs, semantic stores. What to use when.