Production-proven patterns for teams running AI coding agents at scale.
01 — Refactoring
Case StudyMigrate entire caching layers across 50 files.
Let agents explore 3 different implementation patterns concurrently — Redis sentinel, in-memory sharded cache, and distributed consistent hashing. Each agent works in its own isolated microVM, writes code, runs the full test suite, and presents a complete diff for review.
1
Agents scan the codebase for all cache access patterns across 50+ files
2
Three strategies run in parallel: Sentinel, Sharded, Consistent Hashing
3
Each agent produces a working implementation with passing tests
4
Side-by-side diff comparison with test pass rates and line-change metrics
5
Select the winning approach and open a single squashed PR
50+
Files Migrated
3
Strategies
247
Tests Passed
8m
Time to Merge
REFACTORING
Parallel · Verified · Merge-ready
02 — Incident Response
Case StudyFeed the stack trace and logs. Spin up 10 agents to hunt the bug.
When production goes down, every minute counts. Paste the stack trace, error logs, and relevant context. SeaSnoke spawns 10 parallel agents — each analyzing a different hypothesis — and presents verified patches before a human engineer even finishes their coffee.
1
Ingest Sentry/Datadog alerts, stack traces, and structured logs
2
10 agents explore distinct root-cause hypotheses simultaneously
3
Each agent produces a verified patch with reproduction steps
4
Automated canary testing validates the fix against staging
5
Human reviewer approves the best patch — merged and deployed
10
Parallel Agents
<3m
Time to Patch
94%
Root Cause ID Rate
2x
MTTR Reduction
INCIDENT RESPONSE
Parallel · Verified · Merge-ready
03 — Maintenance
Case StudyAutomate breaking change resolutions across monorepos safely.
Major version bumps in your dependency tree no longer mean weeks of manual migration. SeaSnoke analyzes breaking changes across your entire monorepo, spawns agents for each affected package, and resolves conflicts automatically — with full test verification at every step.
1
Scan entire monorepo for packages affected by a breaking dependency change
2
Agents analyze changelogs, migration guides, and type diffs
3
Automated codemods applied and verified per-package
4
Cross-package integration tests ensure no downstream breakage
5
Single PR with all resolved upgrades, ready for review
200+
Packages Analyzed
45
Breaking Changes
12min
Resolution Time
100%
Test Pass Rate
MAINTENANCE
Parallel · Verified · Merge-ready
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