AI DevTool Stack for Small Teams
A lean, high-impact AI development stack for small teams shipping fast without losing quality.
Learn from our experience building AI systems that actually work in production. No fluff, just signal.
A lean, high-impact AI development stack for small teams shipping fast without losing quality.
What changes between demo and production when building an internal AI coding assistant.
A practical multi-provider architecture for quality fallback, cost control, and vendor resilience.
How to lock down tool execution paths so AI agents remain useful without introducing avoidable risk.
Simple controls for model routing, token budgets, and caching that protect margin as usage scales.
A layered testing approach that keeps AI-generated code fast to ship and safe to run.
The telemetry stack you need to debug agent behaviour, tool calls, and regression risks in production.
Treat prompts as production artefacts with versioning, tests, rollback, and ownership.
A review model that uses AI for speed and humans for judgment, security, and architectural quality.
What companies now expect from AI-assisted engineers, and how teams can hire for production impact.
How to evaluate AI coding tools by reliability, cost, governance, and developer experience.
A practical workflow for using Claude in real engineering teams, from task shaping to safe rollout.
Let's discuss your AI engineering challenges and build something your users will love.
Nought Digital is happy working with ambitious agencies, SaaS teams, ecommerce businesses, and local operators — especially when the work improves real operations rather than adding noise.