Sales, Marketing & Support
Triage client messages into tickets and replies
A Slack watcher starts a Devin session on each new client message to investigate, create a Linear ticket, draft a response and route follow-ups.
Devin
Hunt business-logic flaws and open fix PRs
Parallel Devin agents each read part of a codebase, find business-logic and auth bypass flaws, confirm them in a sandbox, then open remediation PRs (vendor description).
Time saved
Not reported
Setup time
Not reported
Running cost
Not reported
Cost range
Not reported
Use case overview
Parallel Devin agents each read part of a codebase, find business-logic and auth bypass flaws, confirm them in a sandbox, then open remediation PRs (vendor description).
Reported experience
What they did
Parallel agents each take a segment of the codebase and reason across files for business-logic flaws, chained auth bypasses and cross-service exploit paths. Devin then combines the findings into full attack paths and reproduces each one in an isolated sandbox. Once a vulnerability is confirmed, it writes the patch and opens a PR for review. Scan profiles can be generated from existing threat model documents.
How it went
On Cognition's own 50-vulnerability benchmark, Devin Security scored 72% recall at $90.23 per run, against 68% for Claude Security at $131.87. This is a vendor benchmark, not an independent one.
Worth knowing
The first full scan sets the baseline. Later scans cover only changed code, so cost falls over time, and batch size per profile controls depth and cost.
Example prompts
Review my codebase [repo name] for business-logic flaws and authentication or authorization bypasses. Split it into parts and examine each, then try to confirm every suspected issue in a sandbox, not on production. Finish with a ranked list of confirmed findings, and open a draft pull request with a fix for each one. Do not merge anything or touch live systems.
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