AI Agents Are Transforming Software Development by Eliminating the Traditional SDLC
AI agents didn't make the SDLC faster. They killed it. All that's left is context.
Read the full articleYou might also wanna read

AI's Impact on Software Engineering: Evolution or Replacement?
With vibe-coding, what I find most useful isn’t even writing code but understanding it.
AI coding shifts from prompts to loops, making verification the key challenge for engineering teams
As AI coding shifts from prompts to loops, verification becomes the ultimate challenge for cloud-native engineering teams.
thenewstack.io·1mo agoHow Spec-Driven Development and Living Contracts Prevent Architecture Drift When Using AI Coding Agents
Stop architecture drift when using AI coding agents. Learn how spec-driven development and living contracts keep your codebase structured an
hackernoon.com·23d ago
Why AI-Generated Code Is Breaking the Traditional Code Review Model
A software development essay argues that code review has always been a compromise, focusing on the diff rather than the upstream intent behi
ShortSingh·4d ago

How AI Coding Agents Are Reshaping Software Development: Capabilities, Limitations, and the Future
Take it easy.
brooker.co.za·1mo ago

Best practices for using AI in the SDLC
In this post, we'll look at how AI can improve the software development lifecycle (SDLC) and the pitfalls that can come from blindly applyin
Snyk·3y ago

Comments
Sign in to join the conversation.
No comments yet. Be the first.