Tackling bugs
It goes after the defects that break things in production: a missing value, a wrong condition, an error nobody handles.
LinebackerAI defense for your pull requests
Linebacker reviews a pull request before it merges. It reads the change and the code around it, finds bugs, risky input and security problems, and hands you one clear report.
/tackleRun Linebacker. Protect your code.
In development. Not available yet.
Pull request Open
- !Bug foundNull pointer dereference
- !Potential issueUnvalidated input
- !Security riskHardcoded secret
- ✓Code looks goodNice work!
Tackle report
Risk level: High
- Critical
- 2
- High
- 3
- Medium
- 4
- Low
- 1
Tackle complete. Code is safer now.
Code is written faster than it is reviewed
AI tools let a developer open more pull requests in a week than a team can read with care. The writing got faster. The reviewing did not.
When review cannot keep up, one of two things happens. Pull requests wait in a queue, or they are approved after a quick look. The quick look is how bugs reach production.
Linebacker is an AI agent that takes the review on. It starts when the pull request opens, reads the whole change, and reports in minutes: on every pull request, at any hour.
The play, in four moves
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Reviewing the pull request
Linebacker reads what changed and the context around it.
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Analyzing
It works out what the code does and what depends on it.
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Finding issues
It detects bugs and the risks that could become bugs.
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Tackle report
You get a clear report you can act on, with the impact of each finding.
A defense that reads every change
Scanning changes
Every changed file gets a risk level, so you know where to look first.
Pull request cleared
When nothing serious is left, Linebacker says so. A clean pull request gets a clear pass.
Five specialists on every pull request
Linebacker is not a linter and not one long prompt. It sends a small team of AI agents at the change. Each has one job.
Repo investigator
Reads the code around the change: what calls it, what it calls, what data it touches.
Risk analyzer
Rates every changed file, and the pull request as a whole: high, medium or low risk.
Code auditor
Goes through the new logic line by line, looking for defects and security problems.
Test checker
Finds the new behaviour that no test covers.
Decision writer
Turns the findings into one report and one call: merge or do not merge.
It remembers the bugs that got through. A bug that got past review goes back to Linebacker, with your team's feedback, as a pattern to look for next time.
One call on every pull request
Like a referee's signal, the decision is one of three, and everybody on the team reads it the same way.
High risk
Do not merge
Blocking bugs found. Fix them, then run Linebacker again.
Medium risk
Merge with caution
Nothing blocks the merge, but there are warnings a person should read first.
Low risk
Merge
No blocking bugs found. The pull request is safe to merge.
One report, sorted by what matters
A review that lists forty comments of equal weight does not help you decide. The tackle report starts with one risk level for the whole pull request, then counts the findings by severity.
- Critical
- Stop. This must be fixed before the merge.
- High
- Likely to cause a defect or a security problem.
- Medium
- Worth fixing; safe to plan.
- Low
- A small improvement.
/tackle
Linebacker next to a human reviewer
| A person alone | Linebacker | |
|---|---|---|
| Starts | When a reviewer is free | When the pull request opens |
| Takes | Hours, often a day | Minutes |
| Costs | An hour or more of an engineer | The AI usage of one run: a small part of that hour |
| Reads | The diff, and what there is time for | Every changed line, and the code that depends on it |
| On a large pull request | Skims; the more files, the more gets missed | Reads the last file as closely as the first |
| Accuracy | Nobody counts it | Counted: each finding is marked real or false, and the score is tracked |
Your reviewers keep the calls that need a person: is this the right design, is this what the customer asked for. Linebacker takes the part people do worst, which is reading every line, every time.