دوره شتاب‌دهنده ۳ روزه برنامه‌نویسی با هوش مصنوعی

عنوان دوره : Maven – 3 Day AI Coding Accelerator

سطح : متوسط

زمان کل دوره : 15 ساعت و 31 دقیقه

تعداد فايل ها : 6

سال آموزش : 2026

فایل تمرینی : ندارد

مربی دوره : Vignesh Mohankumar, Jason Liu

نرم افزار : –

زیرنویس انگلیسی : ندارد

Maven – 3 Day AI Coding Accelerator

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

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
Synchronous workflows — coding live with AI, structuring state and context, getting clean and correct code out of models.
Asynchronous workflows — background jobs, automated agents, Slack triggers, multi-step processes that run while you focus on something else.
And we cover everything that surrounds coding, too
Design-doc generation from meeting notes
Debugging with AI
PR review workflows
Custom commands, sub-agents, rules
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.

What you’ll learn
This is not a vibe coding course. Learn how to build production-level software with AI tools.
Automate entire development processes
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
Master AI-first development workflow.
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.
Scale from individual productivity to team productivity.
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.

Who this course is for
Developers who feel overwhelmed by AI coding tools and want clear guidance on how to be productive.
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.