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AI Agents · Lesson

Iterative Self-Correction Loops

Run tests, parse failures, ask the model to fix — the inner loop of every modern code agent.

Why Self-Correction?

First attempts often fail. The defining property of a code agent is its ability to:

  1. Run the code
  2. Read the error
  3. Fix the code
  4. Repeat

This inner loop is what separates real coding agents from text-completion demos.

The Loop

def code_until_pass(task, max_iters=10):
    write_initial_code(task)
    for i in range(max_iters):
        result = run_tests()
        if result.passed:
            return 'success'
        fix_prompt = f'Tests failed:\n{result.stderr}\nRead the code, identify the bug, and fix it with edit_file.'
        agent.run(fix_prompt)
    return 'gave up'

All lessons in this course

  1. Agentic Patterns: Plan-Execute-Verify
  2. Tool Surfaces for Coding (Read, Edit, Bash)
  3. Iterative Self-Correction Loops
  4. SWE-Agent and OpenDevin Architectures
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