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Summary
Unclaimed ProfileAgent-First Software Engineering teaches the exact synchronous and asynchronous AI coding workflows Vignesh and his team use in their own consulting work, explicitly positioned as not a "vibe coding" course. It covers the Explore → Plan → Build framework, structuring context for AI tools, safely using asynchronous coding agents, improving PR review quality, and building shared team standards for AI adoption, aimed at engineers wanting production-safe, repeatable processes rather than ad-hoc AI usage.
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Program Overview
Learning format
Subcategory
Price
Price may change · updated within 1–2 weeks
Course language
Learning format
Subcategory
Price
Price may change · updated within 1–2 weeks
Course language
Best For
- Engineers tired of ad-hoc AI usage
- Those wanting real, tested AI workflows
- Team leads managing AI adoption
- Experienced engineers shipping production software
Not For
- Those buying through unofficial resale sites
- Non-technical managers without coding experience
- Those wanting a self-paced course only
- Complete beginners new to coding
What You'll Learn
- Building shared team standards for AI usage
- Improving pull request quality and clarity
- Reviewing AI-generated code more critically
- Applying asynchronous coding agents safely
- Shipping AI-assisted features without losing ownership
- Understanding large codebases faster using AI
About the creator
Vignesh Mohankumar
View full profileTechnology & Software Engineering · New York, United States
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Vignesh Mohankumar is a New York-based software engineer and founder of Nila, an AI consultancy helping PE firms and portfolio companies ship AI to production. He holds a Computer Science degree from Northeastern University and was an early engineer (one of the first 10 hires) at Drift (acquired by Vista Equity for $1.2B) and previously worked at Kensho (acquired by S&P Global for $550M).
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