About Us: Fluent in AI tools, fluent in production | Prodvibe
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Fluent in AI tools. Fluent in production. That's the whole point.

Prodvibe exists because two worlds needed a translator: the world where you build an app in a weekend with Claude Code, Cursor, or ChatGPT, and the world of pen tests, CI/CD pipelines, and 3 a.m. pages. Our engineers live in both. We use the same AI tools you do, at an expert level, and we've shipped and operated production systems the traditional way for years.

who we are

Senior engineers who never dismissed the vibe.

Most engineering consultancies look at an AI-generated codebase and see a mess to be rewritten. We see what it actually is: a working product that got to market faster than any traditional process could, carrying technical debt that is well understood and very fixable.

Our team comes from backgrounds in production engineering: building, securing, scaling, and operating systems with real users and real uptime obligations. Cloud architecture, DevOps, security testing, database engineering, and site reliability are our home turf.

But we're also daily, hands-on users of the modern AI development stack. We build with Claude Code and Codex in the terminal, with Cursor, Windsurf, and GitHub Copilot inside Visual Studio Code, and we prototype and debug with ChatGPT, Claude, and Gemini. We write our own MCP servers, skills, and plugins, and we run multi-agent workflows in our own delivery pipeline.

That dual fluency is the company. We can read what your AI built, understand why it made the choices it did, fix what's dangerous, and then configure your tools so they build better next time.

our toolbox

We work in the tools your project was born in.

Whatever you vibe-coded with, we speak it natively, and we know each tool's habits: the patterns it favors, the shortcuts it takes, and the mistakes it repeats.

Anthropic

Claude Code

Agentic coding in the terminal and IDE. We configure CLAUDE.md context, custom skills, hooks, subagents, and MCP connections.

OpenAI

Codex

Cloud and CLI coding agents. We set up AGENTS.md guidance, sandboxing, and review workflows for Codex-driven changes.

Editor

Cursor

The AI-first editor many vibe-coded projects start in. We tune rules files, indexing, and agent mode for safer output.

Editor

Visual Studio Code

The industry-standard IDE. We configure Copilot, extensions, linters, and debugging profiles your whole team can share.

OpenAI

ChatGPT

Where many founders design, debug, and learn. We build prompt playbooks so its answers fit your real architecture.

GitHub

Copilot

Inline AI assistance and coding agents in the GitHub ecosystem, governed by the CI gates we set up on your repo.

Editor

Windsurf

Agentic IDE workflows. We bring the same rules-and-guardrails discipline to its Cascade agents.

Google

Gemini

Chat, CLI, and code assistance across Google's stack, integrated with the same review and testing gates.

deep capabilities

Beyond using the tools: we extend them.

The difference between vibing and engineering with AI is configuration. These are the layers we build for our own delivery work, and set up for you in the hand-back phase.

MCP servers

The Model Context Protocol is how AI agents connect to real systems: your database, your issue tracker, your docs, your APIs. We build and configure custom MCP servers so your agents work with live project context instead of guessing, with permissions scoped to exactly what each agent needs.

Skills & plugins

Reusable, versioned instructions that teach an agent how your project does things: your deployment procedure, your coding standards, your release checklist. We author skills for Claude Code and equivalent plugins and extensions across your editors, so knowledge lives in the repo, not in one person's chat history.

Agents & subagents

Multi-agent workflows with separation of duties: one agent writes code, another reviews it against your security rules, another runs and interprets the test suite. Long-running agents operate in CI with least-privilege credentials, and nothing merges without passing the gates.

Context engineering

CLAUDE.md, AGENTS.md, rules files, and prompt playbooks that encode your architecture, conventions, and constraints, so every AI tool in your stack generates code that fits your system. This is the single highest-leverage upgrade for the quality of AI output.

Guardrails

Linters, pre-commit hooks, secret scanners, SAST, dependency audit, and CI security scanning that run on every change, human or AI. The pipeline doesn't care who wrote the code; it cares whether the code is safe.

engineering backbone

And underneath it all: boring, proven engineering.

AI fluency means nothing without the production craft to back it. This is the stack knowledge your project lands on.

Clouds & platforms

AWSGoogle CloudAzureVercelNetlifySupabaseFirebaseCloudflareDockerKubernetesTerraform

Languages & frameworks

TypeScriptJavaScriptPythonNode.jsReactNext.jsVueRuby on RailsGoSQL

Practice areas

Penetration testingOWASPCI/CDGitOpsObservabilitySRELoad testingDatabase engineeringGDPR / CCPA / Privacy ActPCI awareness

What we believe about AI-built software.

Three principles run through every engagement, from the first audit to the final handover.

01

Vibe coding is legitimate

AI-assisted building is the biggest expansion of who gets to create software in a generation. We're here to complete it, not to gatekeep it.

02

Production is a discipline

Security, reliability, and scale aren't features you prompt for; they're practices you install. Tests, gates, and evidence over confidence and adjectives.

03

Capability over dependence

The best outcome is you, shipping confidently with your own tools in your own accounts. We measure success by how little you need us afterwards.

Let's look at what you've built.

Whichever tools you built with, send us your project for a free production-readiness audit. We'll tell you exactly where it stands, and exactly what it takes to make it production-grade.

Get my free audit
✓ Free, no obligation ✓ Under NDA ✓ Any stack, any AI tool