Nine services, one goal: take the project you vibe-coded and make it bug-free, secure, scalable, observable, and deployable, then hand it back with the professional tooling to keep building. Here's exactly what each service involves and what you walk away with.
Every engagement begins with evidence, not opinions. Our audits tell you exactly where your project stands, what's urgent, and what it costs to fix, before you commit to anything.
A scored report across security, architecture, reliability, and compliance, with a prioritized remediation roadmap. You'll know precisely what your app needs, and what it doesn't. This is the free entry point to every Prodvibe engagement.
Raising a round or heading into acquisition talks? Investors increasingly scrutinize vibe-coded stacks in due diligence. We review your project the way a technical due-diligence team will, then fix what would scare them off: undocumented architecture, license contamination, missing tests, and security gaps.
What happens to your cloud and AI API bill at 10x or 100x today's usage? We model your spend at scale, find the cost bombs (unbounded AI calls, chatty queries, oversized resources), and design the guardrails before growth turns into a five-figure surprise.
Your AI got the project to "almost". We take it the rest of the way: every bug found and fixed, every half-built feature completed, and a test suite that keeps it that way.
We start with a full codebase audit that maps every bug, half-finished feature, and fragile area, then prioritize with you based on user impact. From there we fix systematically: reproducing each issue, fixing the root cause rather than the symptom, and adding a regression test so it can't come back.
Missing features are built to a written spec you approve first, so "done" means what you think it means. Along the way we handle the unglamorous work AI skips: edge cases, empty states, error messages, timeouts, retries, and input validation on both client and server.
Where the code is fragile, we refactor to maintainable patterns: consolidating duplicated logic, removing dead code from abandoned prompt iterations, and standardizing error handling so the codebase behaves as one system rather than fifty prompts stitched together.
We attack your application the way a real adversary would, then fix everything we find and retest to prove it's closed.
Our penetration test covers the OWASP Top 10 and the failure modes specific to AI-generated code: hardcoded secrets in source and client bundles, endpoints that authenticate but never authorize, insecure direct object references where changing a URL ID exposes someone else's data, and injection paths through string-concatenated queries.
We also test your infrastructure surface: storage buckets, Firebase and Supabase rules, CORS configuration, and exposed admin routes. Unlike a typical pen-test vendor, we don't stop at the report. We implement the fixes ourselves: moving secrets into a proper vault with rotation, hardening authentication and authorization on every endpoint, parameterizing queries, adding rate limiting, and locking down storage rules.
Then we retest every finding and hand you a closure report you can show partners, enterprise customers, or investors.
Every library, package, and framework in your project scanned for known vulnerabilities, patched to approved versions, and kept that way automatically.
We inventory every dependency in your project, direct and transitive, and scan them against known CVE databases. AI-generated projects carry two special risks we check for explicitly: outdated packages the model learned years ago, and hallucinated packages that don't exist, a supply-chain attack vector known as slopsquatting where attackers register the names AI tools invent.
Everything with a known vulnerability gets patched to the most up-to-date approved version, with your test suite verifying nothing breaks in the process. We also run static application security testing (SAST) across your own code and review dependency licenses to catch GPL or otherwise incompatible packages before they contaminate your IP.
Finally, we wire automated scanning into your CI pipeline so every future commit and every new dependency is checked before it ships, with a defined process for handling new advisories.
We simulate the traffic you're hoping for, find where the app breaks, and fix it, so your best day doesn't become your worst.
We build load-test scenarios from your real user journeys, then run load, stress, and spike tests to find the actual limits: the request rate where latency climbs, the concurrency where the database saturates, the moment a queue backs up. You get numbers, not guesses.
Then we fix what we find. Typical work includes adding missing database indexes, eliminating N+1 and unbounded queries, introducing caching and connection pooling, moving slow work into background jobs and queues so long tasks never block a request, and configuring auto-scaling so capacity follows demand.
We also put a ceiling on your costs: budget alarms and controls on AI API calls, storage, and compute, so a viral day produces revenue instead of a five-figure surprise bill. Everything is verified with a final load-test run against agreed performance budgets.
Proper DEV, UAT, and PRD environments on the cloud, defined as code, with a deployment pipeline that makes shipping boring, in the best way.
We stand up three environments on your cloud of choice (AWS, Google Cloud, Azure, or modern platforms like Vercel and Supabase): DEV for building and experimenting, UAT for validating changes exactly as they'll run in production, and PRD for your users. Every environment is defined with Infrastructure as Code, so they're identical, reproducible, and never drift apart.
On top of that we build a CI/CD pipeline with automated quality gates: tests, security scans, and vulnerability checks run on every commit, and only code that passes can be promoted. Deploys to production are zero-downtime with instant rollback, so a bad release is a one-click undo rather than an all-nighter.
Secrets and configuration are separated per environment and managed properly, and we review your cloud spend to right-size resources, so the setup is not just professional but cost-efficient.
A clean, professional Git workflow where every change is tracked, reviewed, and reversible, whether it was written by you, your team, or an AI agent.
We restructure your repository and set up a branching strategy that fits how you work: protected main branch, feature branches, and pull-request review gates so nothing lands in production unreviewed. If your project has little or no Git history, we establish a trustworthy baseline and take it from there.
We introduce meaningful commit and release conventions, environment-specific configuration handled properly (no more secrets in the repo), release tagging, and changelogs, so you can always answer "what changed, when, and why" and roll back to any previous state.
This workflow is also what makes AI-assisted development safe: every agent-generated change arrives as a reviewable pull request that must pass your CI gates before it can ship.
Robust, secure logging and monitoring so debugging is fast and accurate, compliance is provable, and you know about problems before your users do.
We implement structured, centralized logging across your application: every request, error, and important business event captured with the context needed to debug it, and sensitive data scrubbed so the logs themselves don't become a liability.
On top of the logs we add error tracking with alerting, distributed tracing to follow a request across services, uptime checks on your critical endpoints, and performance metrics. Dashboards show system health at a glance, and smart alerts page you on real problems without drowning you in noise.
Where your business needs it, logging is configured to compliance grade: tamper-evident audit trails of who did what and when, with retention policies that match your legal obligations.
When something goes wrong (not if), your data and your uptime survive it. Code can be fixed later; lost data usually can't.
We set up automated backups with point-in-time recovery, and, critically, we rehearse the restore. A backup that has never been restored is a hope, not a plan, so restore drills are part of the deliverable, with a documented, tested procedure and a measured recovery time.
For the application itself we design for availability: high-availability configuration, failover for critical components, and a disaster recovery plan that names the scenarios, the steps, and the owners. Incident response runbooks mean that at 2 a.m., the answer to "what do we do?" is written down.
Data protection is built in: encryption at rest, data retention policies, and the ability to actually delete a user's data when law or the user requires it.
The finale of every engagement: we upgrade how you build. You keep vibe coding, now with the standard, professional agentic tools and guardrails that real engineering teams use.
We configure modern agentic coding tools directly against your repository, with project rules and context files that teach the AI your architecture, your conventions, and your constraints, so the code it generates fits your codebase instead of fighting it. Alongside the tools we install "vibe-safe" development guidelines: linters, pre-commit hooks, CI security scanning, and prompt playbooks that steer your future AI-generated code toward safe patterns by default.
Around the tools we install guardrails: every AI-generated change arrives as a pull request, runs the full test suite and security scans in CI, and can only be promoted through DEV and UAT into PRD when the gates pass. You get the speed of vibe coding with the safety of a professional pipeline.
We document the architecture in a form both humans and AI tools can navigate, and we finish with a hands-on handover session: your workflow, your environments, your tools, demonstrated on your real project until you're confident driving it.
The paperwork that protects the business: privacy compliance that matches how your app actually works, and documentation that survives due diligence.
We start with data mapping: what personal data your app collects, where it lives, who can access it, and how long it's kept. From that map we build a privacy compliance package for the regimes that apply to you (GDPR, CCPA, Australian Privacy Act), including consent flows, working data deletion and export workflows, and a privacy policy that matches reality rather than a template.
We audit your dependency tree for license risk, flagging GPL or otherwise incompatible packages before they contaminate your IP position, and remediate with compliant alternatives.
Then we produce the documentation your project has never had: architecture diagrams, API documentation, runbooks for operations and incidents, and onboarding guides, so the "spec" is no longer a chat history with an AI. For fundraising or acquisition, this is the difference between passing due diligence and stalling it.
App down? Breached? Bleeding money on a runaway cloud bill? Our fixed-price rapid response puts senior engineers on your project immediately: stabilize first, explain second, harden third.
Production isn't a destination; it's a state you maintain. When the engagement ends, these are the ways we can stay in your corner.
We keep watch so you don't have to: continuous monitoring, dependency patching as new vulnerabilities are disclosed, incident response when something breaks, and a monthly health report covering uptime, performance, security posture, and costs.
Keep vibe-coding new features; we'll test them. Every release gets professional QA against your critical paths, with new automated tests added as your product grows, so shipping fast never means shipping broken.
Senior technical leadership for non-technical founders: architecture decisions, hiring help, vendor and stack choices, investor-meeting support, and a technical roadmap that matches your business plan, at a fraction of a full-time hire.
Hands-on workshops that teach founders and junior developers how to review, constrain, and safely deploy AI-generated code, so your team's next thousand prompts produce better code than the last.
You don't have to buy everything on this page. Every engagement starts with a free production-readiness audit, and from there we scope exactly what your project needs across our four phases, with fixed deliverables and clear gates at each step.
Send us your project and we'll map it against every service on this page: what's solid, what's urgent, and exactly what it takes to go live with confidence. You'll know precisely what you need, and what you don't.
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