From Root Cause to
Verified Code Fix.
Logsmith doesn't just tell you what's broken. It generates, verifies, and deploys the fix directly to your repository with surgical precision.
The Workflow Transformation
Stop wasting engineering hours on manual triage. Shift from reactive fire-fighting to proactive remediation.
Manual Process
- 01
Wait for PagerDuty alert to trigger.
- 02
Grep through logs across multiple services.
- 03
Hypothesize root cause based on anecdotal evidence.
- 04
Wait for CI/CD and hope the hotfix works.
With Logsmith
- 01
Alert triggers Logsmith analysis immediately.
- 02
Automatic RCA identifies the "Smoking Gun" trace.
- 03
Logsmith generates a verified code fix with 98% confidence.
- 04
Engineers review and apply fix with a single click.
How we find the
"Smoking Gun"
01. Multi-Dimensional Correlation
Logsmith automatically correlates logs, distributed traces, and infrastructure metrics to build a complete causal timeline of the incident.
02. Semantic Dependency Mapping
Our engine understands your service graph. It knows that a latency spike in Service A is actually caused by a locked thread in Service B.
03. Logic-Grounded Reasoning
We don't just guess with LLMs. Every finding is verified against the actual system state to ensure the root cause is indisputable.
The Solution: Automated Patch Generation
Review the generated fix. Logsmith tests it against historical failure data to guarantee success before you even hit deploy.
Telemetry Verification
Fix verified against trace_id: 88f21.. and trace_id: a39c1... Synthetic test passed with 0 regressions in adjacent modules.
Ready to deploy fix?
Automated PR will be created in main branch.
Beyond Pattern Matching:
Context-Aware Intelligence.
State Analysis
Logsmith analyzes the state of your application at the point of failure, not just the code structure.
Dependency Mapping
Our LLM-native engine understands how changes in one service affect upstream dependencies and downstream consumers.
Zero-Trust Verification
Every fix is passed through a deterministic verification layer that checks for common regressions and edge cases.