The Software Development Lifecycle Is Dead

4 hours ago

The traditional Software Development Lifecycle (SDLC) is becoming obsolete due to AI agents.
AI agents collapse multiple SDLC stages into a single, continuous process of intent, iteration, and deployment.
New engineers, post-AI, don't follow traditional SDLC steps like sprint planning or PR reviews—they just build.
Requirements gathering is now fluid, with AI generating multiple versions for quick iteration instead of upfront specs.
System design is evolving from pre-planned architectures to real-time collaboration with AI agents.
Implementation is now handled by AI agents, with humans focusing on steering and high-level decisions.
Testing is no longer a separate phase—AI generates code and tests simultaneously.
Code review is outdated; AI can self-verify or use adversarial agents for validation.
Deployment is continuous and automated, with AI managing feature flags, rollouts, and rollbacks.
Monitoring is the last surviving SDLC stage, evolving into a closed-loop system feeding back to AI agents.
The new SDLC is a tight loop: intent → build → observe → iterate, with context as the key driver.

Hasty Briefsbeta