The short version
I am opening two paid ThumbGate Workflow Hardening Sprint slots for teams using Claude Code, Cursor, Codex, Gemini, or MCP-backed coding agents in production repos.
This is not a generic AI audit. It is one workflow, one repeated failure, one prevention rule, and one proof run.
Best fit
- The agent keeps repeating the same repo mistake across sessions
- Review or approval boundaries are getting skipped
- Context drift causes unsafe file edits, deploy steps, or tool calls
- You need proof that the same failure is blocked before rollout
Offer
- 99 diagnostic: I map one risky workflow, identify the repeat failure pattern, and return a prevention-rule plan plus first-fix checklist.
- 500 implementation sprint: I implement the first guardrails and prove the repeated failure is blocked.
Why ThumbGate
ThumbGate turns explicit feedback into pre-action checks. Instead of hoping a future prompt remembers the rule, the risky action is checked before the next tool call lands.
That matters when agents touch real repos, customer systems, data workflows, deployment scripts, or approval boundaries.
Start here
Diagnostic checkout: https://buy.stripe.com/00w14neyUcXA5pL5e33sI0e
Sprint checkout: https://buy.stripe.com/fZu9AT76saPsg4pbCr3sI0f
Scope and intake: https://thumbgate.ai/?utm_source=devto&utm_medium=article&utm_campaign=workflow_hardening_slots_20260505#workflow-sprint-intake
If the self-serve path is enough, start with the guide: https://thumbgate.ai/guide?utm_source=devto&utm_medium=article&utm_campaign=workflow_hardening_slots_20260505
Proof links
- Commercial truth: https://github.com/IgorGanapolsky/ThumbGate/blob/main/docs/COMMERCIAL_TRUTH.md
- Verification evidence: https://github.com/IgorGanapolsky/ThumbGate/blob/main/docs/VERIFICATION_EVIDENCE.md
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