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Sources and Further Reading

Primary Sources

  • Tejas Kumar, “Harnesses in AI: A Deep Dive” — AI Engineer World’s Fair, May 2026. YouTube
  • Mitchell Hashimoto, “My AI Adoption Journey” — February 2026. Coined “harness engineering” in its current agentic meaning. mitchellh.com
  • OpenAI, “Harness engineering: leveraging Codex in an agent-first world” — February 2026. openai.com
  • Anthropic, “Effective context engineering for AI agents” — Context engineering as a core harness component. anthropic.com
  • EleutherAI, “lm-evaluation-harness” — The older eval harness meaning (2021). github.com

This Repository

  • Source code: This repo — Rust implementation of an eval runner and agent harness
  • Presentation slides: Refer to Tejas Kumar’s original talk materials
  • Tool use / function calling — OpenAI’s API feature that allows models to request tool execution
  • headless_chrome — Rust crate for browser automation via Chrome DevTools Protocol, used as the tool backend
  • Ollama — local LLM runtime with OpenAI-compatible API endpoint
  • Agent loop — the “think-act-observe” cycle at the heart of agentic systems