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.

Sqemo is an ERD tool built around one idea: physical names should be generated from your team's naming standard, not typed by hand.

You register a word list (customer → cust, number → no) and naming rules (case style, delimiter, how to handle unknown words) first. Then you model at the logical level — "Customer Number" — and the physical column comes out cust_no, the same way for everyone, every time. Overrides are allowed but explicitly flagged, so they never spread silently. Because the correct name is computable, drift is detectable: an in-app linter flags deviations, and a CLI fails CI on violations (npx sqemo-mcp lint).

Key capabilities: • Logical/physical model separation with stable links between the two • SQL DDL import/export in seven dialects: MySQL, PostgreSQL, Oracle, SQL Server, SQLite, H2, CUBRID • DBML import/export — one round trip to move from dbdiagram • Runs free in the browser with no sign-up; projects autosave locally and live in a plain .erd.json file you can commit • MCP server (sqemo-mcp) with 36 tools — AI agents read and edit your ERD while following your naming standard • Team workspaces: shared standard, propose→approve queue for new words, and a compliance view showing which ERDs drift from the standard