@Saboo_Shubham_: We just dropped a 50-page guide on the shift from vibe coding to agentic engineering. It covers the new Software Develo…
Summary
Shubham Saboo announced a free 50-page guide on shifting from vibe coding to agentic engineering, covering the AI agents-based software development life cycle.
View Cached Full Text
Cached at: 06/15/26, 07:06 PM
We just dropped a 50-page guide on the shift from vibe coding to agentic engineering.
It covers the new Software Development Life Cycle with AI Agents.
100% free. https://t.co/YymsvjcEkW
Similar Articles
@DataChaz: My friend @Saboo_Shubham_, @AddyOsmani and the team at Google just published a 50-page breakdown on the shift from vibe…
Google team publishes a 50-page guide on moving from vibe coding to agentic engineering, focusing on the software development life cycle with AI agents, emphasizing that most failures are harness failures not model failures.
@dedene: Vibe coding looks easy. Zero upfront design. Zero structure. The reality is: Every broken iteration burns tokens. Every…
A tweet highlights the challenges of vibe coding and promotes a free 50-page guide on transitioning to agentic engineering, covering a new AI-driven software development life cycle.
@svpino: Many long-held principles and practices translate to the agentic coding era, while many don't. We are all trying to fig…
The article explores how traditional software engineering principles are evolving in the agentic coding era, emphasizing the experimental adaptation to AI-driven development by software engineers.
@arcane_bloom: The Shift from Software Engineering to Agent Engineering: A 5-Part Breakdown 1/6 Most developers fail when building AI …
A thread explaining the 5 core mental shifts needed to transition from traditional software engineering to agent engineering, emphasizing why conventional patterns like hard-coded routes and binary tests fail with AI agents.
@PrajwalTomar_: Andrew Ng just mapped why vibe-coded apps break with real users. Agents can write the code. But you still own the decis…
Andrew Ng has shared an AI Engineering Skills map for software engineering fundamentals in agentic coding, highlighting that while agents can generate code, developers must manage critical decisions like data, architecture, security, and production.