Vignesh Mohankumar

    Agent-First Software Engineering

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    Software Engineering · Live Session

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    Summary

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    Agent-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

    Live Session

    Learning format

    Software Engineering

    Subcategory

    $Not publicly disclosed

    Price

    Price may change · updated within 1–2 weeks

    English

    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

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    Vignesh Mohankumar

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    Technology & Software Engineering · New York, United States

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    Vignesh Mohankumar
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    Reviews

    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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