Description
Agent-First Software Engineering Course. This course is designed by engineers with real-world experience in consulting and software development. The main goal of this accelerator is to teach practical methods for sending production code to market, the same methods that senior engineers (Staff Engineers) use to accelerate their processes. Over the past few years, course instructors have used AI tools to bring features that would have taken weeks to build to production in just a few days. This knowledge was first shared privately with senior engineers and is now scaled to hundreds of developers in this course. In this course, students will see real software being built using precise workflows. This is not a superficial course, but rather its focus is on extracting clean and correct code from AI models. Participants learn how to manage state and context structures to achieve the best output. The course also covers coding side processes such as generating design-docs from meeting notes, debugging with AI, and PR review workflows. Ultimately, each participant will gain a repeatable engineering framework that can be implemented in any development environment and with any technology.
What you will learn
- Mastering Synchronous Workflows: Live coding alongside AI and learning how to structure data to get flawless code.
- Run asynchronous workflows: Launch background processes, automated agents, and Slack triggers that operate independently.
- Automation of development processes: Convert repetitive tasks into custom commands that save hours of time throughout the week.
- Use MCP Servers: Connect existing tools to create tickets, test APIs, and manage workflows without constantly switching between applications.
- Intelligent planning: Creating processes that prevent wasted time and effort by effectively loading information context.
- Preventing AI errors: Designing systems using agent.md files and infrastructure that detect errors before they reach the final stage.
- Improve team productivity: Delegate background tasks to autonomous agents to refine documentation and improve quality while engineers are in meetings.
- Standardize AI adoption: Create organizational standards for seamless integration of AI across the entire engineering team.
This course is suitable for people who:
- Software developers: People who feel confused among the multitude of AI coding tools and are looking for clear guidance to increase productivity.
- Team Leads: Those responsible for evaluating AI tools for their organization and need practical frameworks for decision-making.
- Senior engineers and experts: People who are tired of advertising comparisons and are looking for honest insights based on real experience from everyday users of these tools.
- Engineering managers: Those who aim to define new standards for the optimal use of AI in their team’s coding processes.
Agent-First Software Engineering Course Details
- Publisher: Maven
- Instructor: Vignesh Mohankumar
- Training level: Beginner to advanced
- Training duration: 15 hours and 31 minutes
- Number of lessons: 6
Course topics
Agent-First Software Engineering Course Prerequisites
- Experience shipping production software
- You should be comfortable building and maintaining features in your primary language or stack so you can focus on workflow, not syntax.
Course images
Sample course video
Installation Guide
After Extract, view with your favorite player.
Subtitles: None
Quality: 1080p
Download link
Downloadly
Rapidgator link
File(s) password: www.downloadly.ir
File size
3.9 GB
