Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
Comprehending Code via LLMs
- Prompting strategies for code explanation and walkthroughs.
- Effectively working with unfamiliar codebases and projects.
- Analyzing control flow, dependencies, and architectural structures.
Refactoring Code for Maintainability
- Identifying code smells, dead code, and anti-patterns.
- Restructuring functions and modules to improve clarity.
- Leveraging LLMs for naming convention suggestions and design improvements.
Enhancing Performance and Reliability
- Detecting inefficiencies and security risks with AI assistance.
- Recommending more efficient algorithms or libraries.
- Refactoring I/O operations, database queries, and API calls.
Automating Code Documentation
- Generating function/method-level comments and summaries.
- Writing and updating README files directly from codebases.
- Creating Swagger/OpenAPI documentation with LLM support.
Integration with Toolchains
- Utilizing VS Code extensions and Copilot Labs for documentation.
- Incorporating GPT or Claude into Git pre-commit hooks.
- Implementing CI pipeline integration for documentation and linting.
Handling Legacy and Multi-Language Codebases
- Reverse-engineering older or undocumented systems.
- Performing cross-language refactoring (e.g., from Python to TypeScript).
- Exploring case studies and pair-AI programming demos.
Ethics, Quality Assurance, and Review
- Validating AI-generated changes and preventing hallucinations.
- Adopting peer review best practices when using LLMs.
- Ensuring reproducibility and compliance with coding standards.
Summary and Next Steps
Requirements
- Proficiency in programming languages such as Python, Java, or JavaScript.
- Familiarity with 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 3200 € + VAT*
Contact us for an exact quote and to hear our latest promotions
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
