Agile is Dead. Long Live AI-Agile.
Traditional two-week sprints and endless sprint planning meetings were designed for an era when writing code was the bottleneck. In 2026, writing code is fast. The bottleneck is now clarity, architecture, and testing.
How AI Supercharges the Sprint
At Krinok, we've integrated AI into every phase of our development lifecycle, allowing us to ship complex MVPs in weeks, not months.
- Discovery & Planning: We use AI to instantly draft technical specifications and architecture diagrams based on client transcripts.
- Development: Our engineers use AI coding assistants (like Cursor and GitHub Copilot) to generate boilerplate code, write unit tests, and spot security vulnerabilities in real-time.
- Code Review: Automated AI agents review pull requests for style, performance, and common bugs before a human senior engineer even looks at it.
- QA Testing: AI agents automatically generate and execute end-to-end testing scripts based on the UI.
Velocity Metrics That Matter
By augmenting our engineers with AI, we aren't just writing code faster; we are reducing the feedback loop. When a developer can generate 50 lines of boilerplate instantly, they spend their mental energy on complex logic and user experience.
This is how we maintain a fixed-price model. Because our velocity is highly predictable, we can guarantee delivery timelines that traditional agencies simply cannot match.