Build a local LLM agent inside product with LangChain
I am developing in a strict offline environment, so I studies an MVP based as much as possible on the browser or local LLMs.
I am developing in a strict offline environment, so I studies an MVP based as much as possible on the browser or local LLMs.
Tired of inconsistent request/response formats in a Go backend? Define Agent Skills and a goal to automatically standardize them.
I believe in an era where many AI models compete, Models will only get cheaper and more efficient. Let's host the right model through Ollama.
By integrating Figma MCP and Shadcn MCP Server, maybe we can precisely build frontend interfaces through chat with AI.
AI solves clear contextual problems like LeetCode with remarkable efficiency and accuracy. But in real situations, AI struggles. MCP would help.
AI will not leave our lives; it will only become more common, impacting our lives. What can humans do that AI cannot? What will future jobs look like?
The nature of developers' work puts us on the front lines alongside AI, and GitHub Copilot has significantly boosted my productivity and learning efficiency.