The Future of
Building Software

Frequently Asked Questions

What is the difference between AI copilots and AI agents?

A copilot suggests code as you type, one completion at a time. An agent takes a goal, understands the existing codebase, plans an approach, implements it, runs tests, and verifies the result. Copilots assist. Agents operate.

Does this replace developers?

No. Agents amplify what skilled engineers can do. A strong team with agentic tools ships faster and catches more edge cases. Without engineering judgment, agents produce plausible but wrong output. The team's role shifts from writing every line to directing, reviewing, and making architectural decisions.

How does verification work?

Every task follows a loop: research the problem, plan the approach, execute, then verify against the original requirements. When verification finds gaps, remediation tasks close them before shipping. No silent tech debt, no untested assumptions.

Is this production-ready?

We use agentic development on our own production projects every day. We've shipped real software where agents handled research, planning, implementation, and verification across multi-week milestones. For client-facing solutions, we're still defining the offering.

How is this different from no-code or low-code?

No-code tools limit you to what the platform supports. Agentic AI writes real code in real frameworks. You keep full control, full source access, and zero vendor lock-in. The output is a standard codebase, not a platform dependency.

What kind of projects benefit most?

Projects with clear requirements but high implementation effort. Feature rollouts across large codebases, migrations, test coverage expansion, bug investigation across complex systems. The agent handles the volume, your team handles the judgment calls.