The Problem
Where coding agents break down
Code that passes unit tests but breaks integration due to wrong abstraction or assumptions
Debugging that patches symptoms without understanding the call graph
Generated tests that cover happy paths and miss the failures that matter in production
How It Works
Tracing the full coding pipeline
BakeLens traces the coding pipeline
Trace the full coding chain
Classify failures by root causes
Measure cross-file regression: fixing one file break another?
Proof delivers repo-level expert data
Senior engineers annotate real repo tasks with reasoning
Debugging traces with root caus: explaining why the fix works
Integration test data covering cross-file dependencies and edge cases
What You Get
Deliverables
Coding Pipeline Diagnosis
Where in the edit-test-debug loop your agent fails, and how often
Expert Coding Datasets
Repo-level tasks annotated by senior engineers with step-by-step rationale
Integration Eval Suite
Tests that catch cross-file and cross-module failures, not just function-level correctness
Explore More
Agent Reliability
Agents fail where it matters: planning, tools, ambiguity. Diagnose and fix long-horizon failures before production.
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Read moreAuto Research
Executable Auto Research tasks: verified Docker environments, graded metrics, reference baselines, and expert solution traces from working ML researchers. Modeled on AutoLab (data_select_ifeval) — IFEval, LoRA fine-tuning, single-H100 budgets. Train and evaluate agents that actually move a metric.
Read moreBuilt for AI Operating Beyond Benchmarks
Diagnosis, evaluation, expert data, and environments for production deployment.