AI app pre‑launch checklist
A 'SINKING SHIP' pre‑launch checklist for AI apps emphasizing security, databases, and deployment circulated widely and received about 1,289 likes on X. A separate post explained multi‑layer validation across frontend, backend and database in Spanish and logged roughly 352 likes, showing active sharing of validation practices. (x.com) (x.com)
A pair of X posts turned a simple point into a widely shared rule for AI apps: do not ship without checks on inputs, data, and deployment. (x.com) One post framed the idea as a “SINKING SHIP” checklist for pre-launch work and drew about 1,289 likes. A second post, in Spanish, broke validation into frontend, backend, and database layers and logged roughly 352 likes. (x.com 1) (x.com 2) Validation means checking whether data is well-formed before an app uses it, stores it, or sends it to a model. The Open Worldwide Application Security Project says input validation should stop malformed data from entering a system and persisting in a database. (cheatsheetseries.owasp.org) That advice applies at more than one layer. LaunchDarkly’s full-stack tutorial describes separate checks in the user interface, the server, and the database, with each layer catching different classes of mistakes or abuse. (launchdarkly.com) For AI products, those checks sit alongside newer model-specific risks. The Open Worldwide Application Security Project’s 2025 Top 10 for large language model applications lists prompt injection, insecure output handling, and system prompt leakage among the main failure modes teams need to address before release. (owasp.org) Security and deployment have also moved into mainstream AI governance guidance. The National Institute of Standards and Technology says its Artificial Intelligence Risk Management Framework is meant to help organizations manage AI risk across design, development, deployment, and use. (nist.gov) The Spanish post’s three-layer model matches long-running web security practice: the frontend gives users fast feedback, the backend enforces rules on the server, and the database adds final constraints before bad records are saved. The Open Worldwide Application Security Project says server-side validation remains necessary even when client-side checks exist. (cheatsheetseries.owasp.org) The recent attention on X suggests AI builders are packaging those older engineering rules into short, reusable launch checklists. The posts did not introduce a new standard, but they did show how security, schema checks, and deployment review are being recast as basic pre-launch hygiene for AI apps. (x.com 1) (x.com 2)
