The latency regression started after a config branch switch and repeated service restarts.
Use Case
Regression detection
The code review looked clean. The behavior still regressed.
Regression review
logito dev start logito review
Replay the workflow once, then review the regression in context.
Install CLI
Takes ~30 seconds. No signup required.
Runs locally. No data leaves your system.
Works with any API, service, or local environment.
What happens after you install:
- 1. Start a run
- 2. Trigger your system
- 3. See exactly what changed
Problem
Regressions rarely announce themselves clearly.
- Latency climbs after a config or dependency shift.
- Repeated restarts change behavior in ways code review misses.
- Teams see symptoms without knowing what moved between runs.
Hidden Issue
The hidden issue is the gap between change approval and behavior change.
A regression is often a combination of code, config, service restarts, and request shape. Standard tooling splits those clues apart.
- One commit can interact with a stale cache or restarted service.
- The failing symptom may show up far from the triggering change.
- Once several changes land, the last known good state gets blurry.
Logito Flow
Run -> Diff -> Insight -> Action
Run Capture a fresh run around the suspect workflow.
Diff Compare it against a known good session.
Insight See the regression signals and likely contributors.
Action Fix the change or pin the previous baseline.
Example
Run it once. Review what changed. Act with context.
Regression review
logito dev start logito review
Replay the workflow once, then review the regression in context.
Regression review
+ /v1/quotes latency regressed by 18%+ contractor-api restarted twice after config update+ retry volume increased on downstream estimate call
Check the config branch, rerun the workflow, and restore the prior baseline if needed.
Install Fast
Install, start, and review the next run.
Fast path
brew tap progadigital/tap brew install logito logito dev start
Takes ~30 seconds. No signup required.
Benefits
Why teams use this loop
- Catch regressions while the change context is still fresh.
- See likely contributors instead of chasing isolated symptoms.
- Keep baseline comparisons grounded in real behavior.
Positioning
Why this catches drift faster
Dashboards show the spike.
Error tools show where pain surfaced.
Logito shows what changed between the last good run and this one.
Regressions get harder to isolate with every extra deploy, restart, and patch. The sooner you compare against a known good run, the smaller the search space stays.
Install
Install Logito before the next regression gets expensive.
Run the workflow once. Compare it. See what changed before it spreads.
Takes ~30 seconds. No signup required.
Runs locally. No data leaves your system.
Works with any API, service, or local environment.
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