Engineering With AI Agents: How to Stop Vibecoding

Vibecoding is generating code by casually prompting an AI assistant: type “add a login page”, accept whatever comes back, repeat until the app roughly works. Andrej Karpathy popularized the term in early 2025, and for prototypes it is genuinely the right tool, speed is the feature and the code is disposable.

The trouble starts when a vibecoded prototype graduates to production. Each prompt is a fresh negotiation with a model that has no memory of your previous decisions, and the failure modes compound in predictable ways:

Stopping vibecoding does not mean using less AI. It means adding the thin layer of engineering discipline that an agentic IDE is built around: specs, branches, and pull requests.

Here is the loop AIDEN runs for every story, end to end. Board columns are Stories → Spec Review → In Progress → Review → Done, and each card moves through them as the steps below complete.

1. 1

   Write a story

   One or two plain-English sentences on the kanban board describing what you want. AIDEN has already analyzed your codebase, architecture, dependencies, conventions, so you do not have to restate context.
2. 2

   Approve the spec

   AIDEN's AI drafts a full spec from your story: files in scope, acceptance criteria, what must not change. You edit and approve it, an enforced gate since v1.5.21, and the core of spec-driven AI development. No agent codes without an approved spec.
3. 3

   The agent works on its own branch

   AIDEN opens a git worktree on a dedicated branch and launches Claude Code or Codex with the spec as its prompt. Isolation is the hard guarantee here, it is what makes a multi-agent workflow safe, with several stories in flight at once.
4. 4

   The agent runs tests and iterates

   Agents can run your test suite in their own terminal, read the failures, and fix them before marking the story done. This is a best-effort convention built into AIDEN's prompts, not a guarantee, you still review the result.
5. 5

   Optional LLM review pass

   Before you look at the diff, a second model can review the change against the spec and flag issues. One more filter between the agent's output and your attention.
6. 6

   One-click PR: you review diffs, not keystrokes

   Opening the pull request is a single click from the story card, with the spec attached as the description. You review the outcome and merge or redirect, the full loop is covered in AI PR automation.

These principles are not unique to AIDEN, they are how the best agentic tools converge. Our comparison of agentic IDEs in 2026 scores each tool against them.

AIDEN is a macOS 12+ desktop app (Apple Silicon and Intel, signed and notarized) that requires at least one of Claude Code or Codex CLI installed locally. It works with either, better with both:

# 1. Install a CLI if you don't have one
npm install -g @anthropic-ai/claude-code

# 2. Download AIDEN from aidenapp.org, drag to Applications
# If macOS shows an "app is damaged" warning:
xattr -cr /Applications/AIDEN.app

On first launch, AIDEN picks up your existing CLI config, keys stay in ~/.claude and ~/.codex, never read or transmitted, and inherits your MCP servers. Open a local repo or clone from GitHub, let the codebase analysis run, then write your first story. Your code never leaves your machine.

Vibecoding is not bad, it is wrong-shaped for production. The honest version of this guide is a judgment call, not a rule:

Switching modes is cheap. AIDEN's free tier covers one project with the full workflow, if a prototype starts becoming real software, write a spec, approve it, and let an agent take it from there.