HOW AGENTEGRA IS BUILT
Built by one founder. Delivers at team velocity. Every decision logged.
Agentegra is built by a multi-agent development fleet — a human-directed team of AI agents that delivers enterprise software at founder economics.
Primary coding agent. Architects systems, writes production code, manages file structure, reads and edits across the entire codebase. Runs in the terminal.
Research, competitive analysis, documentation drafting, and cross-referencing. Handles large-context tasks where breadth matters.
Miguel Rodriguez reviews every PR, makes architectural decisions, and provides domain expertise. The human-in-the-loop that the EU AI Act requires.
Every change is committed, reviewed, and logged. Full audit trail from prompt to production. The compliance record comes for free.
A continuous loop: human intent → agent execution → human review → ship.
Miguel defines the task — a feature, a fix, a new page. The Switchboard is the source of truth for requirements.
Claude Code and Gemini CLI execute in parallel. Code is written, tested, documented. No ticket required.
Every PR is reviewed by the human Switchboard. Domain expertise and judgment stay human. This is the EU AI Act loop.
Reviewed code deploys. The audit trail is complete. The next task begins immediately.
A real software project, fully planned and delivered by the fleet. 28 tickets, zero human development time.
A full CRM proof-of-concept — app shell, contact list, contact detail view, calendar tab, task management, month navigation, and global task creation. Production-ready frontend with a complete Kanban audit trail.
Miguel defined requirements. Claude Code and Gemini CLI broke the project into tickets, assigned them across agents, and shipped each feature through the review loop. Every ticket tracked in GitHub Projects.
28 tickets — Todo, In Progress, Review, Done — managed entirely by the agent fleet. No developer hired. No sprint planning meeting. The GitHub board is the audit trail.
A two-person team's output at a one-person burn rate. The fleet is the unfair advantage that makes CHF 250k seed go as far as a €2M round.
Every decision logged, every change tracked, human oversight at every step. The development process mirrors the compliance architecture we sell.
GitHub is the audit trail. Every line of code has a commit, a reviewer, a timestamp. This is what production-grade AI governance looks like.
The fleet learns the codebase. Context compounds. Velocity increases over time — the opposite of traditional development where complexity slows you down.
Want to deploy a similar agent fleet inside your organization? That's Layer 2 of Agentegra.