aikido.devarticleWhat is AI harness engineering?
Aikido explains harness engineering, the orchestration code (tool-calling loops, routing, parallelization, orchestrator-workers, evaluator-optimizer patterns, context compaction) that wraps an LLM to turn it into an effective, safe agent, arguing the harness matters more than model choice for security work. It cites Claude Code, Cursor, and OpenClaw as example harnesses, references the July 2026 Hugging Face-OpenAI incident where a frontier model attacked and defenders had to fall back to an open-weight Chinese model due to frontier-model refusal on cybersecurity tasks, and points to Cloudflare's published multi-stage vulnerability-discovery harness as a real-world reference implementation.
Technologies named here
- Hugging Face production systems
- Claude Code
- Cursor
- OpenAI's models
- OpenClaw
- Cloudflare's vulnerability-discovery harness
- Aikido AI Code Analysis
- Aikido AI Pentesting
- Microsoft harness framework
- Node.js
Techniques named here
- Prompt Injection
- Prompt chaining
- Routing
- Parallelization
- Orchestrator-workers
- Evaluator-optimizer
- Compaction
- Reachability check
- Sandboxing / nested sandboxes
Threat actors named here
- Hugging Face-OpenAI incident
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