From Slack Thread
to Merged PR
in Seconds.
ChatToPR connects IBM Bob AI to your incident channels. Point it at a triage thread and watch it analyze, patch, and open a pull request — no context-switching required.
Your engineers are firefighters, not feature builders.
When production goes down, the entire resolution workflow lives across three disconnected tools. Every minute your team spends triaging manually is a minute not spent on your product.
Hours Lost to Context-Switching
Engineers toggle between Slack, GitHub, and local IDEs to piece together incident context — each switch bleeds momentum and delays the fix.
Tribal Knowledge Bottlenecks
The fix often lives in a Slack thread that will be archived and forgotten. Without automation, critical debugging context never makes it into the codebase.
Manual PR Overhead
Writing the patch, adding regression tests, and composing a well-described PR while production is down is cognitive overload on your best engineers.
Before ChatToPR
After ChatToPR
Watch IBM Bob Agent work in real time.
A real production incident thread. One click. A hotfix PR opened on GitHub — completely automated.
Today
Hey team 👋 — production API is returning 503s on `/v2/orders`. Started about 20 minutes ago. Ticket #4821.
Confirmed. Looks like the order-service pod is OOMKilled. I see a spike in memory after the 10:10 deploy.
That deploy included the new pagination logic from PR #312. Memory usage wasn't flagged in staging because the dataset was too small.
Root cause: the cursor-based pagination is loading entire result sets into memory instead of streaming. Fix is straightforward — swap `toArray()` for an async iterator in `OrderRepository.findAll()`.
Rolling back #312 now to restore service. Marcos, can you open a hotfix PR with the streaming fix and add a load test so this doesn't slip through staging again?
On it. Will target `main` with the fix + a Jest memory-leak test. Give me 30 min.
IBM Bob Agent will read this thread, create a structured incident record, and open a pull request automatically.
Powered by IBM Bob AI · Connects to your real Slack workspace & GitHub repository
Three layers. One seamless pipeline.
ChatToPR is an end-to-end automation pipeline that maps directly to your existing incident response workflow.
Real-Time Slack Triage
ChatToPR listens to your incident channels and ingests the full conversation thread — usernames, timestamps, code snippets, and ticket references — giving IBM Bob complete context before it writes a single line.
- Full thread context ingestion
- Reaction & mention awareness
- Ticket & PR cross-referencing
AI Code Generation
IBM Bob analyzes the thread, identifies the root cause, and synthesizes a production-ready patch with a regression test — all tailored to the exact file, function, and failure mode described by your team.
- Root cause analysis from natural language
- Context-aware patch generation
- Automated Jest / unit test authoring
Automated GitHub PRs
The generated fix is committed to a new branch and a descriptive pull request is opened automatically — complete with a summary, affected files, and a link back to the Slack thread for full traceability.
- Branch creation & commit automation
- PR description with thread context
- Full Slack ↔ GitHub traceability
End-to-end flow