
Qalibr
AI copilot turning messy bug reports into structured tickets
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- AIDeveloper ToolsDevOps
- Target Audience
- QA EngineersSoftware DevelopersEngineering Managers
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- Subscription from $99
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- Web
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About Qalibr
Qalibr is an AI copilot for bug intake and triage. It reads the full conversation where a bug gets reported — not just the last message — and decides whether it actually deserves a ticket before anyone opens one. The problem it solves: the real cost of a bug report isn't the bug — it's everything around it. Someone has to read the thread, decide if it's even a real defect, check whether it's already open, chase the missing repro steps, write the ticket, route it, and then the person who reported it never hears back. Multiply that by every "hey, found a bug" across every channel, and that's where a QA or engineering team's week goes. How it works: A bug gets reported — natively in Slack, or pasted in from anywhere (WhatsApp, email, a support form, a ServiceNow ticket). Qalibr reads the whole thread and pulls the real signal, not just keywords. Similarity check — if it's already open, it links the duplicate instead of creating a new one. Judgment — classifies the report as a real bug, false positive, user error, missing context, or regression, the way an experienced QA engineer would, with reasoning and a confidence score attached. Enrich + route — a clean, complete ticket (environment, repro steps, expected vs. actual, evidence) gets created and routed to Linear. A human approves at the gate — nothing reaches the tracker without explicit sign-off. The judgment engine — the part most bug-tracking tools skip: duplicate detection alone is table stakes. What actually keeps a backlog clean is judgment — whether a report is real, whether it matters, and how severe it is. Qalibr's classification taxonomy is built from real QA practice and tunable with rules, so it triages the way your specific team would. Reporter loop: once a report becomes a ticket, the original thread keeps getting the updates that matter — status, routing, resolution — edited live into the same message. No separate dashboard to check, no "any update on that bug?" three days later. Built for: QA leads and engineering managers at SaaS companies running Slack and Linear (more trackers on the roadmap), dealing with high report volume and a growing, noisy backlog. Pricing (flat, no per-seat): Starter — $99/mo, up to 150 enrichments/mo, core intake + judgment + dedup. Growth — $249/mo (most popular), up to 500/mo, unlimited rules, full reporter loop. Scale — $599/mo, up to 1,500/mo, SSO, audit, advanced routing. 14-day free trial, no credit card required. Built by a QA lead of 15 years, shipped solo with AI agents — Qalibr runs the same product it sells. It's module one of a broader quality-intelligence platform: PR Intelligence, Release Intelligence, and QA Process Intelligence are next.
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Comments (2)
@Sophia7150 Thank you for the comment. I would love to hear your feedback on [email protected]
Hi! I'm Diego, a QA lead of 15 years. Built Qalibr solo with AI agents. It reads Slack bug reports, filters noise from real bugs, and routes clean tickets to Linear. Would love your feedback!