AI Engineering/Phase 14/Lesson 19

Benchmarks: SWE-bench, GAIA, AgentBench

Three benchmarks anchor agent evaluation in 2026. SWE-bench tests code patching. GAIA tests generalist tool use. AgentBench tests multi-environment reasoning. Know their composition, their contamination story, and what they do not measure.

Learn 1 hr Python (stdlib)

Prerequisites: Phase 14 · 06 (Tool Use)

#Learning Objectives

Name SWE-bench's test harness (FAIL_TO_PASS) and explain why it gates on unit tests.
Explain why SWE-bench Verified (OpenAI, 500 tasks) exists and what it removes.
Describe GAIA's design: simple for humans, hard for AI; three difficulty levels.
Name AgentBench's eight environments and its primary blocker for open-source LLMs.
Summarize the SWE-bench+ contamination finding and its implications.

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The text and code of this lesson are based on AI Engineering from Scratch by Rohit Ghumare, MIT licensed.