Use cases
What teams use Backthread for
-
Get an overview of who knows what in your codebase
Every codebase knowledge map on the market is built from commit authorship. Once coding agents write the code, that measures who pressed merge. What a per-area map of understanding looks like instead, and how to read one.
Read → -
Turn your developers into engineers
Anthropic's trial put AI-assisted engineers 17 points behind hand-coders on a comprehension quiz. The fix is not to take the agent away. It is to teach the recorded reasoning back, inside the agent, while the work happens.
Read → -
When review can't keep up with agent pull requests
Agent PRs arrive faster than review can read them, so approval turns into a rubber stamp. Every fix on offer is more review tooling. The thing review was never going to hold, the reasoning, needs a home above the diff.
Read → -
Onboarding engineers into a codebase your agents wrote
Every onboarding guide assumes there is someone to ask. In a codebase agents wrote, the person on the commit did not read it. What replaces them is the record of decisions in merge order, read against a map.
Read → -
Keep the knowledge when an engineer leaves
A resignation gives you two weeks to extract what one person knows about the system. Most of what matters was never written down, and under coding agents even git stops telling you where it lives. What to extract, in what order, and how to see the one-name areas before the next notice.
Read → -
An automatic decision log for code your agents write
Hand-written ADRs do not survive agent velocity. How to capture decisions, alternatives and trade-offs automatically from agent sessions and PR discussion at merge time, and why a log that fabricates the why is worse than no log.
Read → -
Measure comprehension debt before it becomes an incident
Addy Osmani named comprehension debt, the gap between the code a system contains and the code anyone understands. Every metric you run stays green while it grows. Here is how to measure it per area of the system, with an estimate first and an earned figure above it.
Read →