Operations · Advanced
Vibecoding with Teams
Collaborative Context
Scaling intent-based engineering from a solo developer to a high-performance team. Managing shared context and reviewing AI code.
01
The Shared Brain
In a team, the AI's 'context' must be synchronized just like the codebase. If developers use different prompt rules, the code will thrash.
- Commit .cursorrules: Treat your AI instructions as part of the source code. They live in the repo, not on your local machine.
- Shared Documentation: Maintain a 'context/' folder with high-level architecture docs that every team member (and their AI) reads.
- Style consistency: Let the AI enforce the linter. Don't waste human time arguing about semicolons in PRs.
02
Code Review 2.0
When AI writes 100 lines in seconds, Code Review becomes 'Intent Review'.
1. Intent
Check the Prompt
Did the developer describe the feature correctly?
2. Architecture
System Fit
Does this AI-generated module fit the broader system?
3. Security
Safety Scan
Check for hallucinations or hardcoded secrets.
03
New Team Roles
Vibecoding creates specialization not by language (JS vs Python) but by abstraction level.
01
The Context Architect
Maintains the .cursorrules and documentation. Tunes the AI for the team.
02
The Product Engineer
Focuses purely on UX and 'Vibe'. Drives the AI to build features fast.
03
The Auditor
Focuses on security, compliance, and verifying AI outputs.