Enterprise vibecoding is a shit show. Most companies subject themselves to one of two failure modes: • Blindly enable vibe coding. It becomes a matter of when (not if) some data security bomb will drop. • Blindly deny vibe coding. The company deprives itself of decentralizing problem solving, and shadow AI (I.e people using personal accounts runs rampant). Which is why customers/prospects ask for some silver bullet to responsible, enterprise-grade vibecoding weekly. The typical question we get: “How can we let non-technical employees build production software without a data security nightmare or millions in wasted tokens?” And now having solved this problem for a number of companies including a multi billion dollar PE firm and F500 retail biz, we have a proven framework you can use within your business. First, why is vibecoding good for business? • Employees are less likely to solve the problems of the business and are more likely to solve their own problems (which in turn as adoption grows, solves parts of a business). • Employees / vibe coders are going to build anyway. Sanctioned / safe / governed tools > shadow IT/AI. • SMEs are the ones who have the deep knowledge on an industry/workflow, not the engineer. Empower the SMEs to build, and they can build useful tools. • 95/5: most apps will fail, your winners gives your business outsized returns. Okay, now let’s assume you’re bought into vibecoding…. Second, you have to be clear about what you’re optimizing for when enabling enterprise vibecoding. 1. Turning SMEs into problem solvers A critique of engineers as old as time is that they don’t sit close enough to the work to truly understand the problem/end user. Whether you agree or not, it’s not a hot take to say that subject matter experts doing the work deeply understand the problems and friction points that need to be solved through product. 2. Enabling multiplayer AI Building an app that runs locally on your computer and solves a clear problem is good. Getting that app to be used & improved by everyone in your department that experiences the same problem is how you get far more leverage. 3. Allowing IT to sleep at night If customer data leaks or an api key is exposed, guess whose ass is on the line. IT. No wonder they’re so paranoid about things like company-wide vibecoding. They’re not anti-vibecoding, though. They’re anti-having the right guardrails in place to prevent the worst day of their careers. 4. Making data access programmatic Pre-AI, IT teams could get 5 data requests a week. Today, that number could be 50/day. As data access goes parabolic because it’s the foundation for performant AI, tools for IT must evolve in-kind. 5. Production-grade by design For product/engineering to take vibecoding seriously, enterprise consistency has to be built into what employees build. If at any point someone has to take over, or review, they are shaped relatively the same, adhere to the eng org’s conventions, and are easy to understand. Now, how do you put this into practice? Third, you have to build a software pipeline that enables secure & responsible, production-grade vibe-coding at scale. We call it the Citizen SDLC. Step 1 is Discovery. Input: An employee works with AI to described their idea, the problem, users, data needs, and desired behavior. Output: This gets turned into structured product requirements doc. Step 2 is Request. Input: PRD becomes one structured request to IT with a named owner, users, data classification, integrations, and scope. Output: Every app enters IT triage on the record before any build work begins. Step 3 is Triage. Input: AI classifies the request along two axes. • Shape: what kind of app is it? artifact generators, workflow automations, CRUD apps, or interactive dashboards. • Blast radius: how much damage could this build do if it went sideways? Output: Three routes out. • Approved: blast radius inside every threshold, complete brief, high confidence. • Reuse: overlaps an app that already exists, so the requester gets routed to that app’s owner • Escalated: A dimension crosses its threshold. IT gets the full request. Step 4 is Provisioning. Input: One approval, the paved road for the app’s shape (architecture, identities, governance, etc), app metadata and owner. Output: platform stamps the app from the road for its shape: a repo, firm sign-in, a deploy identity, a private environment, and its own database, all defined as infrastructure-as-code that IT owns and versions. Step 5 is The Build. Input: The employ prompts their coding agent (Claude Code, Codex, etc) inside the scaffolded architecture, adds product behavior, and opens a PR when ready to publish. Output: Finished app. Everything an engineer would normally carry is carried by the rails instead. Step 6 is Run & Change. Input: New features or app changes made by the original owner or collaborators in the coding agent. Output: Humans do not review routine changes. The checks are the review. What reaches a human is the consequential tail, detected mechanically: destructive schema changes, new dependencies, etc. Hopefully you found this approach to vibecoding at your company helpful! If you want the full breakdown of the six step Citizen SDLC process in excruciating detail, check this link. It’s an end-to-end playbook for responsible, production-grade enterprise vibecoding:

I made the first fully voice controlled vibecoding app with nvidia parakeet, and gpt realtime. But it wasnt good enough. Now you can spawn / prompt agents, and switch projects without ever taking your hands off the keyboard. The mouse is slow!! Voice is spotty!! BUT Keybinds are lightning fast, reliable everytime, and make you feel like you are hacking in the matrix. I built CNVS 100% in swift from the ground up for RAW DOG native performance on apple hardware. My old m1 feels blazing fast. It has a cross agent memory system built on the latest research so all your agents share the same brain. It has a mcp server so agents can spawn, prompt, and orchestrate each other. FABLE BRAINS AND GROK WORKER. It can spawn remote agents running on your VPS or home lab computers. It uses your existing ai subs so you DO NOT pay api prices. PS - I built the entire thing from my basement on live stream, have made over $45k and assembled a discord of over 600 cracked AF vibecoders PPS - its a lifetime license becuase you dont need another subscription bleeding you dry PPPS - iOS is dropping in days. this is the future of vibecoding.

Lmao what in the insanity is going on. Some people here are are replacing SaaS subscriptions by vibecoding it themselves. Me? I'm just waiting for Stanley to ship it instead. Literally just saved me a $100/m subscription. Replace ManyChat here: