Overview
Prompt2Prod.AI is a specialized engineering service that transforms AI-generated code, vibe coded projects, and AI-built MVPs into production-ready solutions. Founded by Sonaht Tech, the company addresses a growing need in the software development landscape: as developers increasingly rely on AI tools like Cursor, GitHub Copilot, and ChatGPT to generate code rapidly, the resulting output often lacks the security, scalability, and maintainability required for real-world deployment. Prompt2Prod.AI bridges this gap by providing senior-level engineering oversight, targeted hardening, and architectural improvements without requiring a full rewrite. The service is designed for startups, product teams, and solo founders who have validated an idea with AI assistance but need a reliable, secure, and performant product to take to market.
Services & Expertise
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AI Code to Production Ready: Prompt2Prod.AI audits and hardens AI-generated code for scalability, security, and performance. The team assesses every gap the generator skipped, including authentication flows, input validation, error handling, and data integrity, then applies targeted, documented fixes.
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AI MVP to Production Solution: For AI-built prototypes that have proven a concept, the service provides proper architecture, test coverage, observability, and resilience. The business case remains intact while the codebase gains the foundation it was missing.
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Vibe Coded Project Rescue: Vibe coding produces fast but fragile code. Prompt2Prod.AI untangles the mess, fixes broken logic, addresses security gaps, adds tests, and returns a maintainable codebase that teams can confidently build upon.
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AI Codebase Security Hardening: AI tools regularly skip security fundamentals. The team conducts a full OWASP-aligned audit and remediates critical findings, including exposed secrets, broken authentication, missing authorization, and lack of input sanitization.
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Performance Optimization: AI-generated code often suffers from slow APIs, N+1 queries, bloated bundles, and high infrastructure costs. Prompt2Prod.AI profiles the system, identifies real bottlenecks, and ships targeted optimizations that deliver measurable improvements.
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Architecture Review and Scalability: AI output frequently lacks coherent structure. The service introduces sound architectural patterns and a scalability strategy tailored to the product and team, without unnecessary complexity.
How They Work
The engagement follows a streamlined four-step process. First, the client reaches out with a description of their project, including what was built, the tools used, and current pain points. No lengthy forms are required, and responses typically come within hours. Second, a focused 30 to 45 minute assessment call covers the full picture: what was built, how it was built, where it falls short, and what production-ready means for the client's context. Third, Prompt2Prod.AI conducts a thorough codebase audit for security vulnerabilities, scalability gaps, performance issues, and maintainability problems. The client receives a clear, prioritized report with every finding and a concrete plan for remediation. This report can be a standalone deliverable if the client prefers to proceed with their own team. Fourth, the team works through the findings systematically, closing security gaps, improving architecture, adding test coverage, and tuning performance. Regular progress updates are provided, and the handover leaves the client's team fully up to speed.
Ideal Client Profile
- A startup founder who used Cursor or Copilot to build an MVP and now needs it to handle real users without crashing or leaking data.
- A product team that inherited a vibe coded prototype from a hackathon and must turn it into a maintainable, secure product for a Q4 launch.
- A solo developer who built a SaaS tool with ChatGPT but is stuck on security hardening and performance optimization before going live.
- A company that hired an AI coding agency and received a codebase that works locally but fails under load and has no test coverage.
- An entrepreneur with a tight deadline who needs a production readiness assessment to identify risks before a major investor demo.
Pricing & Engagement Models
Pricing follows the scope of work. Most engagements begin with a clearly scoped production readiness assessment at a fixed price. After the assessment, hardening and recovery work is quoted against an agreed plan. Clients always know what they are committing to before work begins. The company emphasizes transparency and no surprises, with direct communication from a senior engineer throughout.
Why Consider Them
Prompt2Prod.AI differentiates itself by combining deep familiarity with AI coding tools and senior engineering judgment. The team uses the same tools their clients used, so they understand exactly where AI code cuts corners. They work directly with clients, no account managers or junior engineers. The focus is on fixing and hardening existing code rather than rewriting from scratch, which saves time and preserves working functionality. Every change is reviewed, tested, and verified by a senior engineer, and all work ships with documentation so the client's team can maintain the codebase independently.
