If this model is not willing to fix security issues in your application, does it mean that it's implicitly embedding vulnerabilities as well? How can it be trusted to write secure code?
This is precisely the issue. It took a fair amount of idealism, conviction, and commitment in order to create the open source movement and bring it to where it is today. In contrast, most skilled data science practitioners are just chasing IPO exits these days.
● I'll dig into two things in parallel: how this project talks to the OData API, and what the odata_mcp_go server needs to run. Let me start exploring.
Searched for 1 pattern (ctrl+o to expand)
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⎿ Tip: You can configure model switch behavior in /config
● Let me read the key integration files and fetch the MCP server's README at the same time.
The linear MCP is amazing to work with as it lets me keep all my workflows in the terminal. The ergonomics around search and ticket management are dead simple going through a terminal agent, so I didn't need much more convincing after enabling that configuration.
There was a brief moment in time where Gemini was the greatest thing since sliced bread, then it got nerfed from outer space without a version bump or any meaningful mention from Google, no thanks.
I looked into this specific file, and the history doesn't contain anything too interesting. The root file is already the fully redacted and flattened document, and the edit in question is the addition of a numbered footer to each page.
I'm also finding Gemini 3 (via Gemini CLI) to be far superior to Claude in both quality and availability. I was hitting Claude limits every single day, at that point it's literally useless.
The best thing about owning a framework is that you can easily recover from silly events like spilling an entire latte on your laptop. I've done this twice so far and both times it cost me $99 to swap out the keyboard and get back to a stock look and feel.