CodeHerald provides a new way to keep track of your code review queue, grouped by your next action needed.

When would you use CodeHerald?

• You work in a team that does code reviews.
• Your team receives ad-hoc code review requests via multiple channels: DMs, emails, bookmarks of filtered lists.
• Your team sometimes loses track of small pull requests, delaying them days.
• Your team find ad-hoc code review requests distracting, but cannot put a finger on why.
• Your team tried different strategies to improve code review process, and none of them felt right.

If any of the above is true, CodeHerald will help you.

What can CodeHerald do for you?

CodeHerald groups pull requests by next action: must review, needs an update, can be merged. It allows you to replace slack, emails, filters, and browser bookmarks with one single page that you can open at a glance and decide which PR to tackle next.

We built TuringPulse to give teams a single control plane over their AI agents in production.

Define governance policies, enforce runtime guardrails on MCP tool usage, and configure human oversight — block outputs pending approval, flag actions for async review, or monitor with real-time alerts. Track custom KPIs per agent, detect behavioral and prompt drift automatically, and get anomaly alerts when metrics cross your thresholds. Python and TypeScript SDKs plug into LangChain, CrewAI, OpenAI Agents, LlamaIndex, and others.

https://turingpulse.ai