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Course Outline
Comprehending Code with LLMs
- Effective prompting strategies for code explanation and walkthroughs.
- Navigating unfamiliar codebases and projects.
- Analyzing control flow, dependencies, and system architecture.
Refactoring Code for Enhanced Maintainability
- Identifying code smells, dead code, and anti-patterns.
- Restructuring functions and modules to improve clarity.
- Leveraging LLMs to propose naming conventions and design enhancements.
Boosting Performance and Reliability
- Detecting inefficiencies and security vulnerabilities with AI support.
- Recommending more efficient algorithms or libraries.
- Optimising I/O operations, database queries, and API interactions.
Automating Code Documentation
- Generating function and method-level comments and summaries.
- Authoring and updating README files derived from codebases.
- Creating Swagger/OpenAPI documentation with LLM assistance.
Integration with Developer Toolchains
- Utilising VS Code extensions and Copilot Labs for documentation purposes.
- Incorporating GPT or Claude into Git pre-commit hooks.
- Integrating documentation generation and linting into CI pipelines.
Managing Legacy and Multi-Language Codebases
- Reverse-engineering older or undocumented systems.
- Performing cross-language refactoring (e.g., migrating from Python to TypeScript).
- Exploring case studies and pair-AI programming demonstrations.
Ethics, Quality Assurance, and Review
- Validating AI-generated changes and mitigating the risk of hallucinations.
- Adhering to peer review best practices when working with LLMs.
- Ensuring reproducibility and compliance with established coding standards.
Summary and Recommended Next Steps
Requirements
- Practical experience with programming languages such as Python, Java, or JavaScript.
- A solid grasp of software architecture and code review methodologies.
- A foundational understanding of how large language models operate.
Target Audience
- Backend engineers
- DevOps teams
- Senior developers and tech leads
14 Hours
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 2600 € + VAT*
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Testimonials (1)
That i gained a knowledge regarding streamlit library from python and for sure i'll try to use it to improve applications in my team which are made in R shiny