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This release adds 1 notable feature for engineering teams evaluating rollout.

Published 1mo MCP Developer Tools
✓ No known CVEs patched
Read the diff → Tool health → What is this tool? →

✓ No known CVEs patched in this version

Topics

agent-reliability ai-agents ai-cost-optimization ai-safety amp claude-code
+14 more
codex cursor developer-tools feedback-loop gemini guardrails mcp mcp-server opencode pre-action-checks reduce-llm-cost save-llm-tokens thompson-sampling thumbgate

Summary

AI summary

Include public/lessons.html and public/index.html in the npm package to fix UI stub degradation.

Full changelog

[email protected]

Release Links

  • npm: https://www.npmjs.com/package/thumbgate/v/1.4.6
  • GitHub Release: https://github.com/IgorGanapolsky/ThumbGate/releases/tag/v1.4.6
  • Compare: https://github.com/IgorGanapolsky/ThumbGate/compare/v1.4.5...v1.4.6
  • Publish workflow: https://github.com/IgorGanapolsky/ThumbGate/actions/runs/24410268228
  • Release ref: c988ea8e1a074250ccd7157e01cd5e0be8aa9e1e

Full Changeset Release Notes

Patch Changes

.changeset/first-party-link-router.md

Add first-party marketing link routing and conversion-funnel telemetry so ThumbGate can attribute GPT, install, Pro checkout, and trial-email intent without adding Branch.io.

.changeset/fix-include-public-html-npm.md

Include public/lessons.html and public/index.html in npm package. The server
reads these at runtime — excluding them degrades the lessons UI to a stub page.
Added CI test to prevent this regression.

CHANGELOG.md Entry

No CHANGELOG.md section was found for 1.4.6; the release notes above were generated from the changed Changeset files.

Verification Standard

  • Publish only runs from main after version sync, tests, and runtime proof pass.
  • The npm package is smoke-tested after publish by installing thumbgate@VERSION in a clean runtime.
  • GitHub Release notes are generated from Changesets, not only GitHub auto-generated PR titles.

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About IgorGanapolsky/mcp-memory-gateway

Pre-action gates that prevent AI coding agents from repeating known mistakes. Captures explicit feedback, auto-promotes failures into prevention rules, and enforces them via hooks.

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Beta — feedback welcome: [email protected]