afterbuild/ops
§ RS-00/resources · hub

Guides, checklists, and research for shipping AI-built apps to production.

Everything we publish on fixing, auditing, migrating, or deciding whether to rescue an app built with Lovable, Bolt, v0, Cursor, Replit, Claude Code, or Base44.

The Afterbuild Labs /resources cluster collects 22 written pieces organised into four categories: 6 research meta-analyses, 7 how-to guides, 5 pre-launch checklists, and 4 failure-mode deep-dives. The cornerstone is State of Vibe-Coded Apps 2026, our meta-analysis of Veracode’s State of Software Security, The Register’s February 2026 coverage of the Lovable / Supabase RLS incident, Stripe’s AI-agent integration benchmark, and Afterbuild Labs’s own rescue engagement patterns. Every other resource sits on the same evidence base. Pieces are categorised by what the reader needs at a given moment — evidence to decide, steps to migrate, a checklist to verify, or a post-mortem to understand a failure mode — rather than by the source AI tool.

By Hyder ShahFounder · Afterbuild LabsLast updated 2026-04-18

22
written resources
updated 2026-04-18
4
categories · research, guides, checklists, deep-dives
8
AI builders covered across the cluster
~1/2
AI code ships with OWASP Top 10 vulns (industry benchmark)
§ RS-01/research · meta-analyses and cost studies

Research — third-party meta-analyses and production-readiness studies.

Cornerstone research pieces that synthesise published third-party data (Veracode, Stripe, The Register, Trustpilot) with Afterbuild Labs rescue patterns. Start here when you want the evidence base.

§ RS-02/guides · how to migrate, harden, or decide

Guides — migration paths, hardening walkthroughs, and rescue-vs-rewrite decisions.

Step-by-step guides written for the migration moment — off Lovable, off Bolt, off v0 — plus the diagnostic questions that decide whether to rescue or rewrite.

Next step

Reading can only take you so far. Send us the repo.

Book the free 48-hour diagnostic. We’ll reply with a written rescue-vs-rebuild call, a fixed-fee number, and the three production blockers we found.