How AI impacts software development at different layers
AI-assisted software development brings profound changes to the software development lifecycle (SDLC) at individual, team, and organization-wide level.
ReadNotes from real engagements
Case studies and short essays on applying AI in real software organizations. Direct from the founders, based on actual developments in the field.
AI-assisted software development brings profound changes to the software development lifecycle (SDLC) at individual, team, and organization-wide level.
ReadCompanies are racing to bolt AI onto their products as a feature. But AI is a technology, and good technology is invisible.
ReadAI coding tools won't replace developers, but they will massively reshape how software gets built. Learn how to use AI assistants effectively without sacrificing code quality or piling on technical debt.
ReadDeep dive into best practices and common pitfalls when implementing agentic AI workflows in practice.
ReadLike any technological transition, integrating AI into your product can be challenging, and requires having clear goals and strategy for adoption. What are you trying to achieve, and how will you know if you've succeeded? This article outlines a structured approach to AI integration.
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