What are the current techniques being employed to improve the performance of LLM-based systems? How is the industry shifting from post-training towards context engineering and multi-agent orchestration? This week on the show, Jodie Burchell, data scientist and Python Advocacy Team Lead at JetBrains, returns to discuss the current AI coding landscape.
| # | Наименование новости | Тональность | Информативность | Дата публикации |
|---|---|---|---|---|
| 1 | Maintaining Your Python Developer Instincts While Using LLM Tools | 0 | 5.88 | 26-06-2026 |
| 2 | Configuring a Versatile LLM Harness & Scraping the Web With Scrapy | 0 | 8.36 | 24-07-2026 |
| 3 | Constructing and Judging Modern Agentic Workflows | 0 | 7.62 | 10-07-2026 |
| 4 | Agentic Architecture: Why Files Aren't Always Enough | 0 | 9.41 | 15-05-2026 |
| 5 | Moving Towards Spec-Driven Development | 0 | 12.63 | 19-12-2025 |
| 6 | Agentic Data Science Pair Programming With marimo pair | 0 | 5.71 | 01-05-2026 |
| 7 | Free-Threaded Python's History & uv in Production | 0 | 10.33 | 17-07-2026 |
| 8 | Should You Understand Your Entire Python Codebase? | 0 | 8 | 31-07-2026 |
| 9 | Improving Your GitHub Developer Experience | 0 | 6.46 | 06-02-2026 |
| 10 | Ethics and philosophy of A.I. with Dr. Alessandra Buccella | 0 | 5 | 17-06-2026 |