EN
RAILSHOT.
Back to the hall

Railshot

AI deployment & operations platform

Deploy a locally built web app to prepared cloud and on-premises environments, then run it.

An AI deployment and operations platform that takes a web app built locally to prepared cloud or on-premises environments and keeps running it.

2026.09.28 — 2026.10.04 · Completed

Team project · my part: CI planning and implementation, CSP clusters and Ansible interface, operations, team code review and integration

SoftBank Hackathon 2026 powered by KOREC & ProgatePreliminary participant · finals selection — be announced 2026.10.26 (as of 2026.10.07)

  • WebImplemented · hackathon
  • MCP serverImplemented · remote · local

AI repairs; the same checks decide.

When a basic check fails, AI reads the related logs at a bounded size and proposes a fix within the allowed scope. Only an image that passes the same checks again is published, and that digest is deployed without rebuilding.

  1. Source intakeinputs · target pinned
    • Deterministic checks
  2. Deterministic checksL0 boundary · L1 config · L2 build · L3 HTTP
    • Publish checked imagepass
    • Failure analysisfail
  3. Publish checked imagesame digest · no rebuild
    • config Git · Argo CDdeclare
  4. config Git · Argo CD
    • Verifiedapply
  5. VerifiedPod image · public HTTPS
  6. Stopout of scope · attempt limit
  7. AI repair zoneFailure analysisbounded logs
    • Allowed fixfix
    • Stopstop
  8. Allowed fixpolicy-scoped files only
    • Deterministic checkssame checks