3 Day AI Coding Accelerator

Vignesh Mohankumar

Founding Applied AI Engineer

Jason Liu

Applied AI Consultant

Instructor
Instructor

This is an intensive 3-day accelerator.

Ship features 10x faster with AI.

3-day hands-on accelerator that turns your conversations or requirements into production code that works on your codebase.

Expect to ship a real feature by day three.

Trusted by over 200+ developers.

Day 1 — Fundamentals + Sync 101

Framework: Explore → Plan → Build; managing context windows; turning notes into code

Code Review: enable and demo review bots as part of the Granola flow

Live code-along: build a small feature end-to-end in synchronous mode

Day 2 (AM) — Async 101

Tools setup: Codex on ChatGPT, Claude Code (web), Cursor basics

Background agents: kicking jobs from Slack; when to use web tool vs local

Workflows: break features into smaller async requests; run 2–3 sub-jobs in parallel

Day 2 (PM) — Sync 102

Debugging: front-end and back-end examples using Codex/Claude/Cursor

Personalization: Agents.MD, custom commands, and custom CLI tools; slash commands and GitHub Actions-style triggers

Day 3 — Hackathon & Implementation

The final day is dedicated to applied learning. Participants will work on real features from their production codebases, using credits provided as part of the course.

What you’ll learn

This is not a vibe coding course. Learn how to build production-level software with AI tools.

  • Turn repetitive tasks into custom subject commands that save hours a week

  • Connect your existing tools using MCP servers to create tickets, test APIs, and manage workflows without context switching

  • Create planning processes that load context effectively and prevent wasted work through collaborative planning.

  • Design systems that prevent AI mistakes with agent.md files and infrastructure that catches errors before production.

  • Delegate background tasks to autonomous agents at work while you are in meetings. Handling documentation fixes and quality improvement.

  • Build team-wide standards that make AI adoption seamless across your entire engineering organization.

Learn directly from Vignesh & Jason

Vignesh Mohankumar

Vignesh Mohankumar

Founding Engineer @ Multiple Exited Startups

Jason Liu

Jason Liu

Staff Machine Learning Engineer and Applied AI Consultant

Who this course is for

  • Developers who feel overwhelmed by AI tool choices and want clear guidance on when to use each tool.

  • Team leads evaluating AI tools for their organization who need practical frameworks for deciding which tools provide value.

  • Engineers tired of hype-driven comparisons who want honest, experience-based insights from someone who uses these tools daily.

What's included

Live sessions

Learn directly from Vignesh Mohankumar & Jason Liu in a real-time, interactive format.

Lifetime access

Go back to course content and recordings whenever you need to.

Community of peers

Stay accountable and share insights with like-minded professionals.

Certificate of completion

Share your new skills with your employer or on LinkedIn.

Maven Guarantee

This course is backed by the Maven Guarantee. Students are eligible for a full refund up until the halfway point of the course.

Syllabus

Week 1

Jan 14—Jan 16

    Day 1 — Fundamentals of AI Software Engineering

    • Jan

      14

      Fundamentals

      Wed 1/145:00 PM—7:00 PM (UTC)
    • Jan

      14

      Sync 101

      Wed 1/147:30 PM—9:30 PM (UTC)
    • Jan

      14

      Wrap-up

      Wed 1/149:30 PM—10:00 PM (UTC)

    Day 2 — Advanced Workflows & Guest Speakers

    • Jan

      15

      Async 101

      Thu 1/155:00 PM—7:00 PM (UTC)
    • Jan

      15

      Sync 102

      Thu 1/157:30 PM—9:30 PM (UTC)
    • Jan

      15

      Wrap-Up

      Thu 1/159:30 PM—10:00 PM (UTC)

    Day 3 — Hackathon & Implementation

    • Jan

      16

      Optional: Hackathon Session 1

      Fri 1/161:00 PM—4:00 PM (UTC)
      Optional
    • Jan

      16

      Optional: Hackathon Session 2

      Fri 1/165:00 PM—8:00 PM (UTC)
      Optional

Free lesson

AI Coding Accelerator: How OpenAI uses Codex cover image

AI Coding Accelerator: How OpenAI uses Codex

Codex Evolution & Core Features

Discover how Codex transformed OpenAI's workflow and master the essential features driving productivity

Advanced Prompt Patterns & Techniques

Apply proven prompt strategies and hidden capabilities used by OpenAI engineers in real projects

Integration Best Practices

Implement Codex effectively in your development stack using OpenAI's tested approaches

Schedule

Live sessions

14-20 hrs

Live Coding Session and Hackathons

    • Wed, Jan 14

      5:00 PM—7:00 PM (UTC)

    • Wed, Jan 14

      7:30 PM—9:30 PM (UTC)

    • Wed, Jan 14

      9:30 PM—10:00 PM (UTC)

$950

USD

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Jan 14Jan 16
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