AI HarnessGolden Datasets for Agent Evaluation, Done RightAn agent golden dataset is only as good as its governance. Learn to build curated, human-reviewed input-output pairs and review every golden change like code.August 31, 2026·8 min read
AI HarnessRecording and Replaying Agent Sessions for DebuggingAn agent session replay harness reproduces a one-time production bug on demand. Learn to record model and tool I/O once, then replay it deterministically.August 31, 2026·8 min read
AI HarnessHow to Run Repeatable Agent Tests Without the FlakesRepeatable agent testing means pinning the three sources of nondeterminism. A case study on going from 47% flaky CI to reliably green by freezing all three.August 31, 2026·8 min read
AI HarnessThe SWE-bench Harness Explained for Agent BuildersThe swe-bench harness fails logically correct patches when the environment is wrong. Learn how it grades, what FAIL_TO_PASS means, and how to run it yourself.August 28, 2026·8 min read
AI HarnessBuilding an Evaluation Harness for Your AgentThe best way to build agent eval harness infrastructure isn't LLM-as-judge. Learn to design verifiable tasks and programmatic graders you can actually trust.August 28, 2026·8 min read
AI HarnessWhat Is an Eval Harness, and Why Do Agents Need One?An AI eval harness tells you your agent works across a hundred tasks, not just the one you tried. Learn what it measures and why agents need it more than models.August 28, 2026·8 min read
AI HarnessLogging and Tracing in an Agent Harness: A Case StudyAgent harness logging that only captures the final answer can't debug anything. A case study on structured, trace-ID'd per-step logging that found the bug fast.August 28, 2026·9 min read
AI HarnessHow to Add Timeouts to Every Tool in the HarnessA single hung tool can burn more budget than a thousand good calls. Learn to add a harness tool timeout to every call, with process-group killing done right.August 28, 2026·9 min read
AI HarnessRetry Logic in an AI Harness: Safe by DefaultNaive agent harness retry logic double-charges cards. Learn to classify errors, respect idempotency, and use keys so a lost response never runs twice.August 28, 2026·9 min read
AI HarnessHandling Model Output That Won't Parse in Your HarnessAn agent output parse error isn't one problem — it's three. Learn to tell truncation from malformation from schema mismatch, and fix each the right way.August 28, 2026·8 min read
AI HarnessFile System Access in an Agent Harness: A Case StudySafe agent file system access means never trusting a path you didn't resolve. A docs team's case study on the os.path.join trap and the jail that fixed it.August 28, 2026·8 min read