Best AI for Explain code I don't understand
Get a clear, beginner-friendly or expert-level explanation of unfamiliar code — line-by-line, architectural, or just "what does this do?"
Claude
Claude Code hit a 46% "most loved" rating among developers by early 2026, compared to Cursor at 19% and GitHub Copilot at 9%. The reason is depth of reasoning — when you have a function that spans five files, Claude traces it. When you need to understand an unfamiliar codebase, it explains at the architectural level, not just line-by-line. Claude's extended thinking mode walks through reasoning, useful for learning.
Open ClaudeExplain this code to me. My experience level: [BEGINNER / INTERMEDIATE / EXPERT] Language/framework: [LANGUAGE] [PASTE CODE HERE] Please: 1. Tell me what this code does in plain English (one paragraph) 2. Break down each meaningful section — what it does and why 3. Flag any clever / non-obvious patterns 4. Identify any potential bugs, edge cases, or anti-patterns 5. If I should be cautious about anything (security, performance, side effects), warn me Don't dumb it down past my level. Don't pad with obvious stuff (skip "this imports the library").
Cursor
Best when explanations need to span an entire codebase you have open in your IDE. Live codebase indexing means you can ask "how does the auth flow work in this repo?" and get an answer that traces across files. For single snippets, Claude is faster.
Open CursorFrequently asked
Can AI explain legacy code with no documentation?
Yes — this is one of the highest-value uses of Claude Code or Cursor. Point them at a legacy module and ask "what does this do, why, and what would break if I changed it?" They trace logic across files and produce explanations no human has written for that code in years.
How do I use AI to onboard onto a new codebase faster?
Step 1: Ask AI to summarize the architecture from a README. Step 2: Ask it to explain the entry point (index.ts, main.py, app.py). Step 3: For each major module, ask "explain this and how it connects to the rest." This compresses days of exploration into hours.
Should I trust AI's explanations of code I've never read?
Verify before acting on it. AI gets the high-level intent right ~95% of the time but occasionally hallucinates specific behavior — especially with custom internal libraries or unusual patterns. For anything you'll modify, run the code and confirm AI's explanation matches reality.