Clear Your Bug Backlog with AI
Every team has a class of bug that never gets fixed: real, reproducible, low-severity, and perpetually out-ranked by feature work. The date picker that shows the wrong year on mobile Safari. The null pointer when a user has no avatar. The off-by-one in the export. Each is a 30-minute fix and a 6-month-old issue, because no one has a free 30 minutes at the right time.
Codowave clears that backlog. It picks bugs that match your filters, reproduces them, writes the fix plus a regression test, runs your suite, and opens a PR — so the long tail of small bugs stops being permanent.
Start your 5-day trialThe Long Tail of Small Bugs
Bug backlogs don't grow because teams are careless. They grow because triage is honest: a small bug that affects a few users loses to a feature that affects everyone, every sprint, forever. The bug isn't hard — it's just never the most important thing in the room. Multiply that by a few years and you have 40 open bugs, several of them genuinely embarrassing.
These bugs are ideal autonomous work: well-defined (there's a repro or a clear symptom), verifiable (a regression test proves the fix), and isolated (a bounded change, not a redesign).
How Codowave Clears Bugs
Step 1: It Selects Bugs from Your Filters
Label the bugs you want handled (bug, good-first-issue) or let Codowave pick from your backlog by score. You set the boundaries — severity, labels, paths to avoid — and it selects the best-suited bugs first.
Step 2: It Reproduces the Bug
Where there's a repro, Codowave confirms it. Where there's a clear symptom but no repro, it writes a failing test that captures the bug before touching the code — so the fix is provable, not hopeful.
Step 3: It Writes the Fix and a Regression Test
It implements the fix following your repo's patterns and adds a regression test that fails before the change and passes after. That test is what keeps the bug from coming back.
Step 4: It Runs Your Suite and Opens a PR
Codowave runs your tests, confirms the fix is green and nothing else broke, and opens a PR linked to the issue with the repro, the fix, and the new test. If CI fails, its autofix loop diagnoses and pushes a fix to the same branch, bounded by your cost ceiling.
What Codowave Handles Well Here
| Bug Type | Example | Performance |
|---|---|---|
| Null / undefined errors | "NullPointer when address is null" | Strong |
| Off-by-one / boundary | "Export drops the last row" | Strong |
| Validation gaps | "Negative quantity accepted at checkout" | Strong |
| Error-handling bugs | "Unhandled rejection on timeout" | Strong |
| Wrong-default bugs | "Date picker shows previous year on mobile" | Moderate |
| State / race bugs | "Double-submit creates duplicate orders" | Moderate (with review) |
| Heisenbugs / flaky | "Sometimes fails in CI" | Flagged for a human |
Real Numbers: What to Expect
Based on typical Codowave usage on bug work:
- Bugs cleared per week: 8–18, depending on severity mix
- PR merge rate (CI green, human-approved): 65–80%
- Every fix ships with a regression test — the bug is proven fixed, not just assumed
- Cost per merged PR: approximately $1–4 on the Pro plan
For a 40-bug backlog, teams commonly clear the well-defined 25–30 within a few weeks of steady running, leaving the genuinely ambiguous or architectural ones for a human.
What It Won't Do
- Guess at ambiguous bugs. "It feels slow sometimes" gets a clarifying question, not a speculative PR.
- Fix by deleting the test. A failing test that reflects real behavior is addressed correctly or flagged — never removed to force green.
- Take on architectural bugs silently. A bug whose real fix is a redesign is flagged for human judgment, not patched over.