• views: 247
• date: 20 August 2026
• posted by: 0nelove

Ai-Assisted Development: Coding Agents & Workflows & Sdlc
Published 8/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 26m | Size: 827.28 MB
Master AI-assisted development using custom agents to automate workflows, debug code, and optimize pipelines instantly.
What you'll learn
Master context window engineering to securely inject massive legacy codebases into AI prompts without losing accuracy.
Design and deploy deterministic, custom AI agents tailored to specific engineering roles using LangChain and CrewAI.
Embed autonomous AI bots directly into your CI/CD pipelines to automate complex code reviews and staging deployments.
Build an automated issue-resolution pipeline that parses error logs, writes patches, and submits pull requests.
Requirements
Intermediate proficiency in a modern programming language (Python or jаvascript preferred). You will also need a basic understanding of REST APIs, Git workflows, and a free GitHub account to build and deploy the final autonomous pull-request project. No prior AI engineering or machine learning experience is required.
Description
"This course contains the use of artificial intelligence."
Build AI-assisted development workflows that ship faster without sacrificing engineering quality.
Who this course is for
Mid-to-senior software developers, DevOps practitioners, and tech leads who are tired of generic AI chatbots hallucinating code. This course is specifically designed for engineers who want to stop writing repetitive boilerplate and scale their output by orchestrating autonomous, multi-agent AI teams directly within their existing development pipelines.



   
   
   

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