Apr 29 (edited) • Software Dev / Vibe Coding
The future of coding.
Here is a summary of a 2h learning conversation I just had with ChatGPT o3 model. It was absolutely fascinating. I’m transitioning my team so that all my non-developers become vibe coders, my coders level up their tools, and we prepare for a future where coding looks very different from today.
Also, soon I will be creating a video to show you how I built my first vibe-coded app using Replit AI, that I think all of you will love to use (AI readiness assessment app & benchmarking tool, so you can see where your business stands in terms of AI adoption vs. Your competition). All built without any lines of code being written by humans. It even connects to ChatGPT to write a custom report, and recommend your AI rocks for the next quarter. Stay tuned for this video share coming soon! I can’t tell you how exciting it is, as an entrepreneur, to be able to bring ideas to life so easily.
I hope you enjoy the summary!!
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A QUICK, PLAIN-LANGUAGE BRIEF FOR ENTREPRENEURS
based on a conversation between Mike Schwarz (CEO, MyZone AI) and ChatGPT-03 about the future of coding, AI agents, and what all of this means for business owners.
1. Why we wrote this
Many founders keep hearing that “AI now writes code.” Great—but what should you actually do about it?
This summary strips away the deep tech jargon and gives you a clear picture of:
- How software creation has evolved so far
- What’s changing right now with AI-powered “vibe coding” tools like Replit
- Where things could go in the next three-to-five years
- Concrete staffing, skill, and process moves you can start planning today
2. A quick note on “abstraction”
Abstraction just means “hiding messy details so you can think at a higher level.”
Cars hide engine pistons behind a gas pedal. Modern coding tools hide server setup behind a “Deploy” button. Looking at past abstraction jumps helps us guess what the next one will do to business models and jobs.
3. Past → Present: how the layers have stacked up
• Command lines (1980s-90s). You typed orders into a black screen.
• Point-and-click IDEs (2000s). Menus replaced most typing.
• Cloud & containers (2010s). A single click pushed code to the internet.
• CI/CD & “infrastructure-as-code” (early 2020s). Robots built, tested, and shipped each change automatically.
• AI-first coding (2024-2025). You describe an idea in chat; the AI writes, tests, and deploys the app for you.
4. Where we are right now (mid-2025)
- Replit’s Agent can spin up a working web app—complete with login and a live URL—just from a plain-English prompt.
- Anthropic’s Claude Code runs developer tasks (search code, commit changes, run tests) from a single chat window.
- Cognition’s Devin fixes its own bugs until all automated tests pass.Analysts already predict that non-traditional “citizen developers” will outnumber classical programmers four-to-one by 2028.
5. Three realistic paths to 2028
- Chat-first mainstream (very likely). Most new apps are built by talking to an AI; human experts still review critical changes but rarely touch raw code.
- Hybrid guard-rails (also likely). Same chat-first workflow, but senior engineers keep logs, run security scans, and hold veto power on risky deployments.
- Fully autonomous AGI (possible but less certain in three years). AI designs, ships, and monitors systems end-to-end; humans focus on ethics, policy, and brand vision.
6. What this means for your company
Team mix
• Vibe coders (designers, analysts, marketers) generate prototypes with Replit or Copilot Chat.
• Senior engineers review pull-requests, tighten security, and manage automated tests.
• A rough rule: 1 experienced engineer for every 4–6 vibe coders on low-risk projects; closer to 1-to-4 for anything with sensitive data or strict uptime targets.
Skills to prioritise
• Prompt writing and task breakdown—everyone should learn the basics.
• Git and pull-request workflow—at least the senior crew needs this for oversight.
• Automated testing and security scanning—your guard-rail against cheap, fast, but potentially fragile code.
Processes to lock in early
• Keep all code and cloud settings in one version-controlled place (Git).
• Require a pull-request (with automatic tests) before anything touches production.
• Tag every cloud resource the AI creates so you know what’s burning money.
7. Short, concrete action plan
Next 30 days
• Run a “Replit weekend” where non-tech staff build simple apps.
• Draft the job profile for a CTO / Head of AI Engineering who loves coaching AND governance.
Next 90 days
• Add a basic CI pipeline (GitHub Actions or similar) that runs unit tests and security checks on every pull-request.
• Pilot Claude Code or another CLI-based agent on one repo to handle bulky refactors and automated PRs.
Next 12 months
• Publish an internal ladder so vibe coders can grow into security, data, or reliability specialists.
• Schedule a quarterly “tool scouting day” to test each new AI agent release.
• Write an AI risk & accountability policy that matches coming regulations.
8. Why move now?
Code is racing toward “near-free.” Speed alone will not set you apart; quality, security, and the ability to scale ideas safely will. Companies that master both halves of the equation—wide-open creativity for many and tight guard-rails from a few—will out-ship, out-learn, and out-compete those stuck in either extreme.
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Would love to hear your thoughts! Keep investing time every day to learn more about AI… as things continue changing faster and faster. This is the entrepreneurial opportunity of our lifetimes.
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The future of coding.
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