๊ฐ€์ž… ํ›„ ์ดˆ๋Œ€ ๋งํฌ๋ฅผ ๊ณต์œ ํ•˜๋ฉด ๋™์˜์ƒ ์žฌ์ƒ ๋ฐ ์ดˆ๋Œ€ ๋ณด์ƒ์„ ๋ฐ›์„ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

PyCharm, a JetBrains IDE
@pycharm
The only Python IDE you need. Built by @JetBrains, part of @JetBrainsData
๊ฐ€์ž… January 2010
28 ํŒ”๋กœ์ž‰ ์ค‘    71.6K ํŒฌ
Want to build an agentic development setup thatโ€™s faster, cheaper, and local-first? โšก Today, @AndrewYNg and @jetbrains' @paulweveritt released a new course exploring modern AI agent engineering with PyCharm and open-weight models. You'll learn how to: ๐Ÿง  Build specialized subagents โšก Use the "big brain, little brain" approach with cheaper models ๐Ÿ“Š Measure cost, latency, and quality as your architecture evolves ๐ŸŒ Configure OpenCode + OpenRouter with models like DeepSeek V4 Pro ๐Ÿ’ป Transition from cloud inference to fully local AI using LM Studio and Gemma 4 12B Rather than focusing on one framework, the course teaches engineering principles you can apply as the AI landscape continues to evolve. If you're interested in hybrid or local AI workflows, this is a great place to start. Learn more: #PyCharm# #AI# #LLMs# #OpenSourceAI# #DeepLearningAI# #AndrewNg# #Python#
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