Everything including a demo is in the repo above so feel free to check it out - I included a detailed readme that should help make things clearer as well:

If you have any questions or want to chat about this, DMs are open 🚀.

3. Trivy: Performs security scans on the project to identify vulnerabilities and suggests fixes.

2. MCP Server: Acts as an intermediary, receiving requests from the MCP client and orchestrating security scans and fixes by interfacing with Trivy.

In this project, two tools are exposed: one for initiating Trivy scans and another for applying fixes. the LLM can choose when to use them based on its context.

How does it work?

1. Cursor IDE (MCP Client): Serves as the development environment where code changes occur. With MCP support, Cursor's agent (Composer) has access to MCP tools.

5. Regulation should focus on the capabilities and actions of the entire system, not just the llm itself.

4. Data-driven optimization techniques (like those offered by dsp ai) can help you automatically find the best prompting and sampling strategies for your system.

3. Even small language models can outperform giant ones when they are part of a well-designed system.

2. A powerful llm is useless without a robust system to support it. This includes:

- Carefully engineered prompting strategies

- Effective sampling methods for text generation

- Integration with relevant tools (like databases, and web access)

Check out the first day live stream here if interested youtu.be/kpRyiJUUFxY?...

technical, not skip any details, and sharing with it what is my purpose and why i would like this podcast. (e.g to learn about a subject or whatever the reason is).

some relevant youtube videos, and some whitepapersand all put together, came out great. I really like how u can mix these sources together and just listen to the overall summary. also I noticed the instructions u can provide to the podcast generation request makes a difference. i ask it to be

There are many! But for instance, I wanted to learn more about online payments from a system design perspective. So i went ahead and created a new collection, and pushed in quite a few relevant API docs pages from stripe, some relevant blog posts from their engineering blog, as well as