Use cases, advice and experience on AI-to-human code migration
A custom CRM can turn your sales process into an asset you own, but the prototype is only the beginning. Here is what it really takes to design, build, secure, migrate, operate, and improve a stable CRM, even with Claude writing part of the code.
How to benefit from AI in business without blowing your budget? Hidden costs, AI integration for SMBs, productivity tools, and a method to turn an AI project into a lasting asset rather than a recurring expense.
Google, L'Oréal, and LVMH build their own software — not out of tech whimsy, but because it is a competitive advantage. With AI and harness engineering, that model is now within reach for leaders who do not count their developers in the hundreds.
After the initial hype of vibe coding, technical debt accumulates: autonomous agents, bypassed tests, fragile back-end. Why agentification without a harness creates structural risk — and how to regain control.
For founders shipping with Lovable, Bolt, or Cursor: a grounded definition of harness engineering when several autonomous agents touch the same repo, why throughput can exceed human review, and why cumulative hallucination plus LLM-oriented verbosity makes both “no management” and “optimize only for agents” a bad trade.
Better AI for code is not only about choosing a stronger model. It comes from observability: logs, traces, and cost visibility across API, queue, database, backend, and client side systems.
Building an MVP no longer requires months of hacking. With AI-powered IDEs, 'coding' is a flow-state conversation with an LLM. But can you raise serious money on a codebase written largely by a machine? The short answer is yes, here's the long one.
The debate between managed services and roll-your-own infrastructure is eternal. Supabase offers the ease of Firebase with the power of SQL. Here's why it might be the right trade for your next production system, and how you can leave if you need to.
Complete guide to taking a Lovable project to production: avoid the Vibe Wall at 1000 users, optimize Supabase, secure your AI-generated code, and transform your prototype into a scalable application. Practical solutions for migrating from Vibe Coding to production.
Exposing SQL queries directly from JavaScript client code is a major security vulnerability. Technical analysis of risks, the crucial importance of RLS, and Edge Functions as a secure solution.
Transform your fragile prototype into a robust product. A practical guide to go from AI-generated code to an application ready for 10,000 users, without sacrificing your creativity.
Vibe coding exposes projects to critical risks: gaping security vulnerabilities, non-scalable architectures, and poor code quality. In-depth analysis of the three major weaknesses of this approach.
Supabase promises a hosted PostgreSQL database with an automatic REST API. But what's really under the hood? In-depth technical analysis and realistic cost estimate for a production application.
AI can get trapped in unsuccessful, costly, and frustrating coding loops. Discover the root causes and how AI2H transforms your chaotic code into a strategic asset.
Vibe coding promises multiplied productivity, but hides explosive costs related to tokens and critical security vulnerabilities. Analysis of the real risks of AI-assisted programming.
Vibe coding democratizes software creation but raises crucial questions about code quality and maintainability. Complete analysis of this new development approach.
Discover how to effectively migrate a Lovable project to an autonomous codebase, reducing recurring costs and regaining total control of your infrastructure.
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