Aaron Francis – Faster – Learn AI-Assisted Development is a practical software development course focused on using artificial intelligence to make everyday programming work more efficient. It introduces workflows for integrating AI coding assistants into the development process, from generating and improving code to debugging, automation, and application building.
Course Overview
What You Will Learn
- AI-Assisted Coding Workflows: Understand how to integrate AI tools into the software development process and use them as part of everyday programming activities.
- Code Generation and Improvement: Learn how AI coding assistants can help generate code, refine existing implementations, and support development tasks.
- Debugging and Troubleshooting: Explore ways to use AI assistance when identifying problems, investigating errors, and working through technical issues.
- Prompt Engineering for Developers: Develop more effective prompts to communicate programming requirements and obtain useful results from coding assistants.
- Programming Task Automation: Discover opportunities to automate repetitive development activities and reduce manual work.
- Application Development: Apply AI-assisted techniques when building applications and completing software projects.
- Code Quality and Documentation: Learn how AI tools can support code improvements and help with development documentation.
- Daily Development Integration: Incorporate AI into regular programming workflows to improve efficiency and consistency.
Practical Features and Learning Approach
Faster
- Step-by-Step Video Tutorials: Structured lessons that guide learners through the covered techniques.
- Practical AI Coding Demonstrations: Examples showing how AI tools can assist with common programming activities.
- Developer Prompting Techniques: Guidance on writing prompts that communicate coding tasks and requirements more effectively.
- Workflow and Productivity Optimization: Approaches for incorporating AI into development routines and reducing repetitive effort.
- Real-World Development Examples: Practical software development scenarios that illustrate the use of AI-assisted techniques.
- Actionable Programming Practices: Methods and recommendations that learners can apply when working with AI coding assistants.
Who Is This Course For?
- Developers interested in integrating AI coding assistants into their existing workflows.
- Programmers looking to improve code generation, debugging, and troubleshooting processes.
- Software professionals who want to automate repetitive programming tasks.
- Learners interested in practical prompt engineering for software development.
- Developers seeking ways to improve productivity while maintaining code quality and documentation.
Learning Outcomes
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Course Page:
https://faster.dev/
