AI in Software Development

AI in software development uses coding assistants, AI-generated tests, automated code review and documentation tools to help engineering teams ship better software faster.

Our AI in Software Development service includes AI coding assistants, automated testing, code review & security and docs & knowledge. AI coding assistants: Claude Code, Copilot and Cursor rollout. Automated testing: AI-generated tests and QA.

AI in Software Development is a good fit for in-house dev teams, software agencies, fintech engineering and government IT units. We work with SMEs, startups, enterprises, NGOs and public-sector teams.

Typical outcomes are faster delivery, fewer bugs and happier developers. We agree measurable success metrics before any build starts and report on them weekly.

Quoted per project after a free consultation. Every engagement starts with a free 30-minute consultation, after which we send a fixed quote in Kenya shillings (or USD if you prefer). You can pay by M-Pesa, bank transfer or card, in instalments if that suits your cash flow, and we offer startup and NGO rates.

First pilot in weeks, after a free consultation. We share progress in weekly demos, so you see working results early rather than waiting for a big reveal at the end.

We commonly use Claude Code, GitHub Copilot, Cursor, GitHub Actions, SonarQube and Playwright. We choose tools that fit your existing systems, budget and data-protection needs rather than forcing one stack.

Book a free consultation. We review your goals and data and suggest 2–3 quick wins you can pilot within weeks.

Only with review. We set up guardrails, code review rules and security scanning alongside AI tools.

Red Star Standard is an AI consultancy and AI-driven software team. We pair AI strategy with the engineering to build it, agree measurable goals up front, deliver working results in weeks with weekly demos, and you own all code and data.