Insights & Essays.
Field notes for CTOs and principal engineers: what shipped, what failed, and how to staff the next AI program. Depth first — no vendor recap.
Latest Articles
The Builder-PM Archetype: When Product Managers Ship Code in 2026
Discover the rise of the Builder-PM. Learn how modern product managers use Cursor and Claude Code to replace 50-page PRDs with interactive pull requests.
Predictive Project Management: Re-Engineering PMOs with Real-Time Risk Analytics in 2026
Master predictive project management. Re-engineer PMOs with real-time risk analytics, Monte Carlo timeline modeling, and automated Git/Jira telemetry.
The 70/30 Rule: How High-Performing Teams Actually Do AI-Assisted Development
The 70/30 rule for AI-assisted development: a practical framework for engineering leaders to govern what AI executes autonomously versus what humans must own. Architecture, metrics, governance patterns, and the 2027-2030 roadmap.
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What is “The 70/30 Rule” about?
The 70/30 rule for AI-assisted development: a practical framework for engineering leaders to govern what AI executes autonomously versus what humans must own. Architecture, metrics, governance patterns, and the 2027-2030 roadmap.
Who wrote this article and when was it published?
Written by Vatsal Shah, an AI Leader and Solution Architect based in Ahmedabad, India, and published on July 17, 2026. It is filed under Engineering Transformation.
How can I apply this in my own organization?
Use the sections of this article as a working checklist, adapt each step to your platform and risk profile, and record the decisions you make. To discuss The 70/30 Rule for your team, request a briefing at https://shahvatsal.com/contact.