Google published a free ~50 page whitepaper on the new SDLC with Vibe Coding & Agentic Engineering!
Today I'm sharing a 50-page paper co-authored by me,
Shubham Saboo and
Dr. Sokratis Kartakis Kartakis, and part of Google's 5-day AI Agents course on Kaggle. It's free and we think you'll find it a useful read.
AI compresses implementation from weeks to hours. But requirements, architecture, and verification stay stubbornly human-paced. That asymmetry changes everything. The bottleneck isn't typing anymore. It's spec quality.
Vibe coding and agentic engineering aren't different tools.
They're different disciplines.
The difference isn't whether you use AI. It's how much structure, verification, and human judgment surrounds the output. Casual prompts and accepted-whatever-came-back is vibe coding. Formal specs, automated eval suites, CI gates, and human oversight of architecture is agentic engineering. Both use the same agent. What separates them is the harness.
Agent = Model + Harness.
There's a temptation to treat model quality as the explanation for everything good and bad about your agent. It's wrong, and it leads to the wrong investments. The model is the engine. The harness - the prompts, tools, rule files, sandboxes, guardrails, orchestration logic, observability - is the car, the road, and the traffic laws.
When an agent does something wrong, the first instinct is to blame the model. More often the failure traces back to a missing tool, a vague rule, an absent guardrail, or a context window stuffed with noise. Most agent failures, examined honestly, are configuration failures.
Three things I believe will stay true as the tools change:
Structure scales, vibes don't. Vibe coding is valid for exploration and prototypes. For software organizations depend on, the discipline of agentic engineering is not optional.
AI amplifies your engineering culture. Strong testing practices and clear architectural standards get dramatically more value from AI than teams without them. It's a force multiplier, and it multiplies both your strengths and your weaknesses.
The human role is evolving, not diminishing. The builders who understand architecture, define precise specifications, and evaluate output critically are more valuable than ever. The skills that matter are shifting from implementation to judgment - from writing code to designing the systems that produce code.
Generation is solved.
Verification, judgment, and direction are the new craft. We hope you find the new whitepaper a helpful read!
Download the PDF here:
https://lnkd.in/gPsGzjPZ
#ai #programming #softwareengineering