Claude Code

Definition

Plain language

Anthropic's AI coding assistant that can read your codebase and do work for you.

Also called: Claude Tools

Why it matters: It's a leading example of moving AI from autocomplete to full agentic software work, reshaping how engineering teams actually use models.

For example, a developer types 'find why the login test is flaky and fix it,' and Claude Code reads the repo, edits files, and runs tests until it passes.

Heard on the show

“Claude Code actually got harder to attack through the tool channel — its success rate dropped a couple points, which suggests it specifically watches for injected content in tool results.”

Mentioned in 22 episodes

1. 202
   How Do You Know an AI Agent Actually Refused? Check the World, Not the Words
2. 196
   AI Agents Reached Opposite Conclusions From the Same Data — and Passed Review
3. 195
   Why 'Be Careful' Does Nothing for AI Coding Agents, and What Does
4. 184
   An AI Built an Undetectable Secret Channel, And Another AI Couldn't Find It
5. 166
   A Router That Beats the Frontier Models It Calls
6. 159
   Can a Coding Agent Run Its Own Robot Experiments Overnight, With No Human Resetting the Scene?
7. 157
   When an AI Coding Agent Drives a Phone Through the Terminal, No Screen Needed
8. 150
   Don't Kill the Loser: A Different Way to Handle Two AI Agents Colliding
9. 131
   Why Autonomous Research Agents Forget Their Own Lessons, and Arbor's Fix
10. 130
    Why AI Agents Coordinate Better Through a Shared Board Than a Boss
11. 112
    When an AI Agent Cheats Without Being Told: Inside the Meta-Agent Challenge
12. 102
    How to Catch an AI Attack That No Single Conversation Reveals
13. 086
    Why Frozen-Weight Agents Still Get Worse Over Time
14. 078
    Training a Markdown File: When LLM Self-Improvement Borrows the Discipline of Neural Net Training
15. 075
    Growing Code and Proof Together: Verified Systems in Ten Hours Instead of a Year
16. 057
    How Uber Caught 206 Leaked Credentials With an LLM-Powered Security Stack
17. 046
    When the AI Optimizer Edits the Grade Book: Why Harnessing Evolution Needs a Wall
18. 029
    Why Forty-Eight Percent on FrontierMath Isn't the Real Story in DeepMind's New Math Paper
19. 028
    Teaching a Model to Hire Copies of Itself: Recursive Agent Optimization
20. 024
    An AI Agent That Found 28 Zero-Days in Windows — And What Made It Work
21. 016
    Why Your Coding Agent Stalls While the GPU Runs Hot
22. 005
    Why a Debugger Designed for Humans Is the Wrong Tool for an AI Agent

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