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Fix bugs 50-75% faster

Bug triage. 50-75% faster.

Bug reports, logs, and stack traces analyzed. Source code locations identified. Root cause diagnosed. Fixes proposed and validated for regressions.

Where it breaks today

Bug triage is time-consuming. Manual root cause analysis. Fixes sometimes introduce regressions. Production incidents need urgent response. Fixes that introduce new bugs

The fix

We analyze bugs, diagnose root causes, propose fixes, and validate against regressions.

What we build

An agent is a stack.

01

Automated root cause analysis

Bug reports, logs, and stack traces analyzed. Likely source code locations identified. Root cause diagnosed.

  • Bug report and log analysis
  • Stack trace interpretation
  • Source code localization
  • Root cause diagnosis
Core
02

Fix generation and validation

Code fixes proposed based on root cause. Regression tests run to verify no new issues introduced.

  • Proposed code fix generation
  • Regression validation
  • Same-day resolution for most issues
  • MTTR improvement
Module

How it works

Analyze. Fix. Validate.

01

Bug reported

Issue arrives via Jira, Sentry, or Datadog alert.

Step 1
02

AI diagnoses

Logs analyzed, root cause identified, fix proposed.

Step 2
03

Fix validated

Proposed fix tested for regressions before merge.

Step 3

What it delivers

Outcomes, in weeks.

50-75% faster bug triage
Same-day resolution for most issues
Fewer fix-induced regressions

Before → After

Bug triage: Hours

50-75% faster

Before → After

Fix quality: Regressions common

Validated against regressions

Before → After

Resolution time: Days

Same-day for most

No lock-in

Built in your stack.

Live in 4-6 weeks. You own the system — sovereign, no vendor lock-in.

  • Project Management (Jira, Linear, Asana, or your tool)
  • Error Tracking (Sentry, Rollbar, or your system)
  • Monitoring & Observability (Datadog, Splunk, New Relic, etc.)
  • Version Control (GitHub, GitLab, Bitbucket, etc.)
  • Runtime & Orchestration (Trinity by Ability AI)

Questions

Questions about bug fixing

How accurate is root cause analysis?

High accuracy for common bug patterns (null pointers, type errors, API failures). Complex bugs may need human diagnosis, but AI narrows the search significantly.

What if the proposed fix is wrong?

Engineers always review before merge. AI proposes fixes with reasoning. Engineer validates logic and runs regression tests. Collaboration, not replacement.

What results should we expect?

Engineering teams typically cut bug triage time 50-75% (hours → 30-60 minutes). For teams handling 50+ bugs/month, that's 100-200 hours/year saved = $90K-$180K in capacity. Plus faster MTTR improves customer satisfaction by 20-30%.

How long does implementation take?

4-6 weeks from kickoff to production. Week 1-2: Integration with issue tracker and monitoring tools. Week 3-4: Root cause analysis configuration. Week 5-6: Fix validation setup and deployment.

Do we own the system?

Yes. You own the system. We build the infrastructure in your stack, hand over the keys, and you own it forever - no vendor lock-in.

Start here

Bring one workflow.

A 30-minute working call. We’ll map this workflow to an agent stack and tell you honestly whether it’s worth building.

Bug fix agent

50-75% faster triage

Root cause analysis, proposed fixes, and regression validation. 50-75% faster triage.