Debugging
How to Triage Failing Tests in a Large Repo
Failing tests are useful evidence, but they are rarely the full implementation surface. The faster path is to combine the symptom with ranked repository context.
Why failing tests are high signal but incomplete
A failing test tells you where the symptom is visible. It does not guarantee that the implementation root cause lives in or near that same file.
In larger repositories, the real surface often spans tests, route logic, middleware, models, or helper layers.
What to feed into retrieval
- A plain-language bug description
- The failing test path when you have it
- Any known active files or recent refactor surface
What a useful ranked set looks like
The top results should usually include the failing test, the likely implementation file, and one or two neighboring files that explain the bug boundary.
That gives you a triage order instead of leaving you to guess which match to open first.
What to verify on your own repo
You are checking whether the first three to five files shorten the path to understanding the failure.
That is a stronger test than asking whether the exact root-cause file always lands at rank one.
Next up
Use the shortest path through submission, readiness, verification, API, and MCP.
Related reading
Debugging Faster by Finding the Right Files First
Use repository-aware file ranking to narrow a regression or failing-test investigation before you start reading code.
Read articleReal Example: Finding the Root Cause with Ranked Files
A proof-oriented walkthrough of how a task becomes a ranked shortlist and how that shortlist should be inspected.
Read articleHow to Use MCP with a Single Repository
A narrower MCP workflow for agent builders who want repository-aware retrieval without drifting into broad multi-repo context or vague tool usage.
Read articleFeatured paths
If the next useful move is clearer than another article, take it.
Use the main Repokit paths to move from blog reading into docs, submission, API, or MCP without leaving the same funnel.
Debugging path
Start with a regression or failing test.
Use ranked files to narrow the likely implementation surface before you spend time browsing or guessing.
Verification path
Understand ready, tokens, and the real beta flow.
Use the verification and readiness content to judge the product on your own code instead of on generic examples.
API path
Build an internal tool with direct HTTP control.
Go from human-facing API guidance into a real integration once the verification flow and repository boundary are clear.
MCP path
Connect a tool-capable client through MCP.
Keep the scope narrow to one repository and one retrieval task before you try to scale the workflow outward.