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Use Case

Coding Models

Repo-level coding ≠ solving LeetCode.

The Problem

Where coding agents break down

Integration Breakage

Code that passes unit tests but breaks integration due to wrong abstraction or assumptions

Shallow Debugging

Debugging that patches symptoms without understanding the call graph

Blind Spot Tests

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

Proof delivers repo-level expert data

1

Trace the full coding chain

1

Senior engineers annotate real repo tasks with reasoning

2

Classify failures by root causes

2

Debugging traces with root caus: explaining why the fix works

3

Measure cross-file regression: fixing one file break another?

3

Integration test data covering cross-file dependencies and edge cases

Diagnosed by BakeLens Powered by Proof

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

Built for AI Operating Beyond Benchmarks

Diagnosis, evaluation, expert data, and environments for production deployment.