veeduzyl

5 ms·

1. 1.▲
   by veeduzyl 5mo ago

   We’re building MindForge Guard — a runtime governance layer for AI-assisted development. The core idea: as AI moves from generation to execution, governance needs to happen at runtime, not only after the fact. The upgraded version is now
2. 2.▲
   by veeduzyl 7mo ago

   We’ve published the first installable GitHub Release of MindForge Guard (v1.0.1). This release is distributed directly via GitHub (no npm registry dependency). What’s included: Policy init schema alignment Legacy v=1 auto-migration Kernel b
3. 3.▲
   Show HN: Guard – An open-core governance layer for AI-generated code(mindforge.run)

   2 points by veeduzyl 7mo ago|0 comments
4. 4.▲
   Show HN: Verifiable server roundtrip demo for a decision interruption system(github.com)

   1 points by veeduzyl 8mo ago|0 comments
5. 5.▲
   by veeduzyl 9mo ago

   I’m experimenting with a cold guardrail for refactor risk. If it blocks you (or fails to), feedback is here: GitHub Discussion: “Feedback: tell me when it interrupts you”
6. 6.▲
   by veeduzyl 9mo ago

   I’m experimenting with a cold guardrail for refactor risk. If it blocks you (or fails to), feedback is here: GitHub Discussion: “Feedback: tell me when it interrupts you”
7. 7.▲
   by veeduzyl 9mo ago

   If you try it and it interrupts you, I’m actively collecting feedback here: GitHub Discussion: “Feedback: tell me when it interrupts you” There’s no analytics or tracking. Just paste the output of a local telemetry_report (anonymous, local-
8. 8.▲
   by veeduzyl 9mo ago

   This tool intentionally has no usage analytics. Feedback happens via a pinned GitHub Discussion instead: paste a local telemetry summary, nothing else.