Nila

October Accelerator

January Accelerator

March Accelerator

Move from ad-hoc AI usage to a clear, repeatable workflow for shipping production software with confidence.

Staff Eng, currently AI Consultant

Vignesh Mohankumar

Founding Engineer @ Multiple Exited Startups 

Agent-First Software Engineering

Product Builder

Fullstack developer

Software Engineer

Research Engineer

Consultant

Senior Consultant

Generative AI Engineer

Principle Software Engineer

Staff Software Engineer

AI/Data Science Consultant

You’ll see us build real software using the exact workflows we use in our own consulting work. This is not a vibe coding course.We built this accelerator because we’re engineers first. For the past few years, we’ve been using AI tools to ship production features that used to take weeks in days. We started by sharing these workflows privately with the senior engineers we worked with. We created this accelerator to scale the knowledge to hundreds of developers.You will learn both:<ul><li>Synchronous workflows — coding live with AI, structuring state and context, getting clean and correct code out of models.</li><li>Asynchronous workflows — background jobs, automated agents, Slack triggers, multi-step processes that run while you focus on something else.</li></ul>And we cover everything that surrounds coding, too:<ul><li>Design-doc generation from meeting notes</li><li>Debugging with AI</li><li>PR review workflows</li><li>Custom commands, sub-agents, rules</li></ul>By the end of the accelerator, you’ll have a repeatable engineering framework you can apply to any codebase, stack, and dev environment. And you’ll walk away having shipped a real feature using these methods.Trusted by 200+ developers.

Ship production code 10× faster with the workflows staff engineers actually use

Plan and ship AI-assisted features without losing ownership

Use AI to explore and understand large codebases faster

Apply asynchronous agents safely and intentionally

Improve PR quality and reduce review friction

Build shared standards for AI usage across teams

You should be comfortable building and maintaining features in your primary language or stack so you can focus on workflow, not syntax.

Experience shipping production software

Engineers who want consistent, production-safe workflows, not guesswork or oversized diffs.

Team leads and managers responsible for AI adoption who need practical standards, not hype or tool comparisons.

Engineers tired of vibe coding and social-media advice who want real workflows from someone shipping code daily.

Choosing the Right AI Model for Coding Workflows

Applied AI Consultant

How to choose models based on task fit instead of hype or release date.

Pick the Right Model, Not the Newest

The exact Claude/Composer/Codex setup Vignesh uses after testing everything.

Vignesh’s 3-Model System

Know when to use fast models and when deeper reasoning matters.

Match Speed vs Intelligence

How to combine models so exploration, execution, and debugging all flow.

Chain Models for 10× Output

Cursor 2.0 First Impressions

Eric Zakariasson

Builder at Cursor

Jason Liu

Explore AI code review, bug finder, and agent view to enhance your coding workflow efficiency.

Cursor's AI-Powered Development Features

See real-world examples of work trees, async agents, and plan mode from experienced developers.

Advanced Cursor Capabilities in Action

Understand Cursor's roadmap and upcoming features to prepare for evolving development practices.

Future of AI Coding Tools

AI Coding Accelerator: How OpenAI uses Codex

Dominik Kundel

Developer Experience, OpenAI

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

Codex Evolution & Core Features

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

Advanced Prompt Patterns & Techniques

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

Integration Best Practices

AI Coding Accelerator: How Amp uses Amp

Graham McBain

Senior Developer Advocate, Sourcegraph

Learn battle-tested strategies and workflows that Amp's engineering team uses daily with their AI coding tool.

Proven agentic coding workflows from Amp engineers

Discover transferable techniques and best practices that work across different agentic coding platforms.

Universal tactics for any AI coding agent

Master specific methods to streamline your development flow and boost coding efficiency with AI agents.

Productivity optimization through AI integration

AI Coding Accelerator: Agents as teammates w/ Linear

Jori Lallo

Cofounder @ Linear

Learn to integrate pre-built AI agents to automate task tracking, prioritization, and coordination.

Using existing agents in Linear for project management

Create custom AI agents that solve your specific project management challenges and integrate smoothly.

Building custom agents for your team's specific needs

Master best practices for AI workflows that boost team productivity and streamline operations.

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