Is your Lovable app safe to launch? A 12-point security checklist
Twelve checks to run before real users sign up to an app built with Lovable, Bolt, Cursor or Replit: keys, row-level security, auth, storage, payments and more.
Practical guides for shipping software that holds up.
Twelve checks to run before real users sign up to an app built with Lovable, Bolt, Cursor or Replit: keys, row-level security, auth, storage, payments and more.
The most common Supabase RLS mistakes in AI-built apps: policies set to true, roles in user metadata, views and functions that bypass RLS, and how to fix each one.
Your AI-built prototype works. Here's what separates it from a product people can rely on: environments, data, errors, payments and the parts you can leave alone.
A plain comparison of fractional CTOs, development agencies and freelancers for founders and small companies: cost, control, speed and when each one fits.
Practical ways to reduce LLM API costs in production: measure per feature, route to smaller models, use prompt caching and batch processing, and trim context.
How to integrate AI into an existing product or workflow: pick one job, check your data, prototype, build an eval set, add guardrails and roll out in stages.
Where to start with AI in a small company: list repetitive work, score it by value and risk, pick quick wins, set a simple policy and measure what changes.
RAG vs fine-tuning vs agents explained in plain words: what each one does, when each fits, how they combine and what to try first when adding AI to a business.
How to set up AI support triage that answers repetitive questions from your own docs, hands off to a person at the right time and stays inside clear guardrails.
A practical guide to AI document processing for invoices, receipts and forms: extraction, validation rules, human review and how to measure accuracy honestly.
Common authentication mistakes in AI-built apps: client-side checks, editable roles, unverified tokens, weak resets and open sign-ups, with a fix for each one.
How to find exposed API keys in your frontend code: search your live JavaScript bundles, spot secret key patterns, check Git history, and rotate what leaked.
A Firebase security rules checklist for Firestore and Storage: test mode leftovers, owner checks, field validation, admin roles and how to test rules safely.
Fixed price vs hourly for software projects: how each model shifts risk, when each one fits, and the contract terms that protect a founder under either one.
How to hire your first developer as a non-technical founder: define the role, find candidates, run a paid trial, spot red flags and keep ownership of your code.
How much does an MVP cost? The real price drivers: scope, integrations, payments and who builds it, plus practical ways to cut cost without cutting quality.
How to scope an MVP that ships: pick one question to answer, map the single core flow, cut features ruthlessly and replace the rest with manual work for now.
Internal tools build vs buy: how to decide between off-the-shelf software, a simple automation and a custom-built tool, with the hidden costs of each option.
Using LLMs with company data safely: how API data policies work, zero-retention options, cloud-hosted and self-hosted models, and when to redact before sending.
Lovable vs Bolt vs Cursor vs Replit, compared fairly: app builders, an AI code editor and a hosted IDE. What each does well, where it breaks, and how to choose.
No-code vs custom code: the signs you've outgrown Bubble, Webflow or an AI builder, the signs you haven't, and how to switch without losing users or data.
Who owns your app? The code, cloud, domain, database and payment accounts every founder must control, how to check ownership, and how to fix it safely.
Developer disappeared with your app? A calm, step-by-step plan to get your code and accounts back: what to secure first, how to recover access, what to avoid.
Should you rewrite or fix a messy codebase? A practical way to decide: what to measure, the warning signs for each path, and how to refactor without stopping.
Why your AI-built app is slow: N+1 queries, missing indexes, overfetching, heavy images, big bundles and no caching. How to find each one and fix it in order.
A plain guide to Core Web Vitals: what LCP, INP and CLS measure, the thresholds Google uses, where to find your real scores and the fixes that move each one.
Technical SEO problems common in sites built with Lovable, Bolt, Cursor or Replit: client-side rendering, duplicate titles, missing sitemaps, stray noindex tags and broken links. How to fix each.
Practical conversion fixes for a landing page or signup flow: measure the funnel, speed up the page, sharpen the headline, simplify forms and fix mobile. No redesign needed.
How to handle Stripe webhooks in AI-built apps: verify signatures, make handlers idempotent, store entitlements in your database and distrust success pages.
A plain guide to Supabase backups: what each plan type includes, when point-in-time recovery is worth it, what backups miss, and how to test a restore safely.
A technical due diligence checklist for founders: what investors review in your code, security, infrastructure and team, and how to prepare before they look.