Thanks for the detailed insights—really appreciate it. I’ve been implementing the latest changelog and testing the new version released from Cursor sitting on 0.48, which has optimized the rules significantly. @atalas is actively collaborating on GitHub with his latest pull and we’re working towards refining the system further.
I’ve also considered the non-experimental Flash 2.0 for programming-heavy workflows and the quality output on Claude in general, since I’ve been doing some prompting techniques and so far there’s one shot prompting that works fascinating without breaking the system or hallucinating, there’s a lot being done in the background that will end up being worth.
Besides that the addition of ‘Custom Modes’ in 0.48 opens up some exciting possibilities. I’m drafting a variation of the system to leverage those capabilities—it could streamline the entire workflow even further.
Will keep this thread posted as we progress.
@atalas Regarding Python in the environment, Jina Reader and Jina Search I’ve been experimenting with running it in locally setup rather than server based, as I’ve been doing some implementation on AWS as-well, this approach helps maintain chat memory consistency and reduces bias drift while keeping the planning phase more structured and clean. It’s still early, but the results look promising.
The sequential thinking framework could itself evolve into an MCP, especially as we refine the command structure and make it more intuitive for users in the community, I’ll experiment with this approach and see how it impacts usability since formatting them in .mdc or integrating them directly into Cursor’s notepad via @notepad
I’ll start drafting a prototype for this Git-MCP integration and share updates.
Let me know if you have specific use cases
Note: I’ve been training my own local model to provide me proper prompt usage with Cursor that integrates nicely with Claude 3.5 and 3.7 sonnet giving the output on a one shot prompting, I’ve crawled +75 pages to index every detailed and advantage/disadvantage in regards to using the righteous promting techniques, please refer to the following documentation to gather more information about how I’ve trained my agent.
kleosr_prompting004.pdf (218.4 KB)