Who it’s for
- Engineering managers who want a live signal on ticket completeness without reading diffs
- Developers who want to confirm their implementation covers all acceptance criteria before closing a ticket
- QA engineers who want a structured view of what’s implemented before writing test cases
How it works
1
Connect your repo
Authorize Waterline to read your GitHub repository. Waterline builds a semantic index of your codebase — every function, class, and method is understood in context.
2
Connect your issue tracker
Link Jira, GitHub Issues, or Asana via OAuth. Waterline reads ticket summaries, descriptions, and acceptance criteria.
3
Analyze a ticket
Enter a ticket key (e.g.
PROJ-123). Waterline finds the most relevant code for that ticket, scores it against each acceptance criterion, and produces a structured result.4
Get a progress score
Each criterion is scored SATISFIED, PARTIAL, or UNSATISFIED. The overall score is the percentage of criteria with clear code evidence — honest and explainable, not a guess.
Key properties
Function-level precision
Waterline understands your codebase at the function and class level — not just file names. It pinpoints exactly which code addresses each acceptance criterion.
Stable scoring
The progress percentage comes from consistent thresholds, not a raw LLM output. Scores are stable — they change when code or ticket content changes, not between re-runs.
Kept current
Every push to your repo triggers an automatic incremental re-index. No manual action required.
No infrastructure
Fully managed. No LLM keys to configure, no database to run, no vector store to provision. Connect your repo and start analyzing.