Why Claude & Claude Code
Why Claude?
There are many AI agents. We still put Claude and Claude Code at the core, for one reason: development that AI drives autonomously can be managed, with quality verified at every step. That fits our way of building — one continuous line from design to evaluation.
Plenty of options
Codex, Cursor, Windsurf, Antigravity. AI tools that write code keep growing, and they are all capable. That is exactly why choosing what sits at the core is a design decision that shapes the quality of your work.
Why we choose Claude
- 01
AI development you can govern
Autonomous agents, but never left unmanaged. Spec-driven development (SDD — turning requirements into a spec before implementing) sets the path first, and automated evaluation (eval) checks quality every time. Decision logs and the AI Context Store (a knowledge store) keep the context, so who changed what, and why, can be traced afterwards.
- 02
Runs as one with the Banto harness
With Claude Code at the core, our in-house open harness Banto (a control layer that runs agents safely) handles execution, verification, and record-keeping as one cycle. Not one-off code generation — requirements, implementation, evaluation, and release connected in a single flow. Claude Code and Banto together are the foundation of how we build.
What is Banto - 03
Built for the enterprise
Claude is generally available on the major clouds — AWS (Amazon Bedrock), Google Cloud (Vertex AI), and Microsoft (Azure Foundry) — so it runs within your existing procurement and security requirements. Enterprise plans do not use your input data for model training, and cover SOC 2, ISO 27001, and HIPAA (BAA). Audit logs, customer-managed encryption keys, and the controls needed for enterprise rollout are in place.
- 04
Code quality and agent performance
Not surface-level code completion, but implementation that understands the intent of a large codebase — and refactoring that breaks nothing. On SWE-bench Verified, the benchmark measuring whether real development issues actually get solved, Claude keeps delivering industry-leading performance.
- 05
Strong context understanding
It does not lose sight of the spec or past decisions. With the whole project held in a large context window, changes stay consistent.
- 06
Reproducibility that enables governance
It reliably keeps to the constraints and procedures we set, delivering the same quality every time. Safety is built into the design (Constitutional AI), so its behavior is predictable. Because it does not drift, we can verify it; because we can verify it, we can manage it.
Codex, Cursor, Windsurf, and Antigravity are excellent tools too. This is not about which is better. For our development — research-driven and kept manageable from design to evaluation — Claude and Claude Code fit best.
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Talk to us about AI-driven development
We propose a way of building centered on Claude, tailored to your specific challenges.