AI Agent Harness Research
A daily engineering digest for agent harness design, evaluation infrastructure, observability, replay, and production agent operations. Last updated 2026-05-29 UTC.
10 Recent Research Publications
Automated Benchmark Auditing for AI Agents and Large Language Models
Modern AI benchmarks operate at a complexity that outpaces traditional verification methods. Tasks authored by domain experts often contain implicit assumptions, incomplete environ...
Anticipate and Learn: Unleashing Idle-Time Compute in Proactive Agents
While AI agents demonstrate remarkable capabilities in reasoning and tool use, they remain fundamentally reactive: they compute responses only after explicit user prompts. This par...
Behind EvoMap: Characterizing a Self-Evolving Agent-to-Agent Collaboration Network
Agent-to-Agent (A2A) networks enable autonomous AI agents to collaborate by sharing reusable problem-solving instructions. However, how these decentralized ecosystems operate in pr...
Meta-Engineering Harnesses for AI-Native Software Production: A Contract-Driven Adversarial Verification Architecture with Early Deployment Report
AI-native software development is often evaluated at the level of individual models, prompts, or generated artifacts. This framing is insufficient for production environments where...
Insuring Every Action: An Authority Frontier Framework for Runtime Actuarial Control of Autonomous AI Agents
Autonomous AI agents increasingly issue side-effect-bearing actions: database mutations, refunds, payments, external commitments. We propose the ...
Daily Harness Engineering Blogs (51 published)
Replayable Agent Harnesses: 2026-05-26
how to design trace capture, deterministic replay, and failure triage for coding agents
Evaluation Isolation for Agent Tools: 2026-05-26
how to separate model quality from harness bugs, flaky tools, and contaminated benchmarks
Coding Agent Benchmark Design: 2026-05-29
how to design representative benchmarks that measure real engineering output, not just code completion
Failure Taxonomy for Agent Systems: 2026-05-29
how to classify agent failures into contract violations, environment drift, model hallucination, and budget overflow
Multi-Agent Communication Patterns: 2026-05-29
how to design worker delegation, team-mode review, and supervisor loops for multi-agent systems
Model Selection for Coding Agents: 2026-05-29
how to evaluate LLM providers on pass rate, token cost, latency, and harness compatibility