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Choosing the Right AI Model for Coding Workflows
Hosted by Vignesh Mohankumar
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In this video
What you'll learn
Pick the Right Model, Not the Newest
How to choose models based on task fit instead of hype or release date.
Vignesh’s 3-Model System
The exact Claude/Composer/Codex setup Vignesh uses after testing everything.
Match Speed vs Intelligence
Know when to use fast models and when deeper reasoning matters.
Chain Models for 10× Output
How to combine models so exploration, execution, and debugging all flow.
Why this topic matters
Most of the conversation around AI coding is hype about whatever model dropped last week. No wonder people are confused. Vignesh will walk through the system he actually uses today—based on extensive testing across real codebases—and show which models are worth using and when.
You'll learn from
Vignesh Mohankumar
Applied AI Consultant
Vignesh is an independent consultant working on Applied AI. He works with companies to get AI shipped to production within 30 days. He also helps upskill engineering teams on AI usage. Previously, he was a founding engineer at Drift (acquired $1.2b), an early conversational AI startup. He later led the growth engineering team as a staff engineer.
Go deeper with a course
3 Day AI Coding Accelerator
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Vignesh Mohankumar and Jason Liu
Founding Engineer @ Multiple Exited Startups . Staff Machine Learning Engineer and Applied AI Consultant
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