Everything on Development Strategy

Intent-driven development reduces the interpretation gap between human ideas and agent implementation by making implicit requirements explicit in artifacts like intent.md. This allows agents to work autonomously on complex features without constant human clarification.

Impact: Increases agent autonomy and reduces human bottleneck in the development cycle, enabling faster delivery of complex features.

— from Intent-Driven Development and AI Factory Economics · Engineering with AI· Sep 20, 2026

The primary evolution in AI development is the shift from spec-centric to context-centric approaches, where agents are trained on organizational standards rather than just following static requirements.

Impact: Organizations that master context engineering will achieve higher agent reliability and alignment with business goals, reducing rework and integration errors.

— from Context Engineering and the End of Code Review · The AI Native Dev - from Copilot today to AI Native Software Development tomorrow· Apr 14, 2026