In my experience, context is king for legacy code. Try Aider AI—its way cheaper (pay-per-token). It handles complex Node refactoring way better than pricey, hype-filled agents. gl!

Seconding the recommendation above about looking into Enterprise tiers for privacy. Honestly, if you're dealing with sensitive client data, the 'free' or basic versions are a massive risk... I've been doing some market research for our team's stack recently, and while Cursor Code Editor is the darling of YouTube right now, it's definitely not the only player for deep context.

So, I've spent the last few months testing how these actually handle legacy React/Node.js messes, and here's my take on the brands actually worth the money:

• CodiumAI Codiumate - This is probably your best bet for the unit test generation you mentioned. Unlike generic completion, it actually analyzes the logic flow and suggests edge cases. It's way more reliable for refactoring cuz it focuses on 'integrity' rather than just guessing the next line of code.

• Amazon Q Developer Professional - If you guys are already in the AWS ecosystem, this is a sleeper hit. It has built-in 'Transformation' capabilities specifically for upgrading legacy code and deep refactoring. Their security guardrails are basically industry-standard, which fits your cautious approach.

• Codeium Enterprise - I know Try Continue was mentioned, but Codeium's enterprise offering is great because it allows for self-hosting. It really bridges that gap between 'smart context' and 'not leaking data to a third party.'

tbh, I'm still pretty skeptical about 'agentic' tools for production code—they tend to hallucinate weird dependencies in messy environments. Stick to tools that augment your workflow rather than trying to replace it. good luck! 👍

Respectfully, I'd consider another option—dont waste money on agents yet. Try Continue.dev with local LLMs. It's basically free, handles deep context, and keeps ur data secure. Honestly it's amazing! gl

Warning: agentic tools *literally* wreck legacy code. I went through this last year; total mess.

* Privacy: we used local LLMs (Ollama)
* Refactoring: still needed manual checks

Safer for client data tbh. gl! ✌️

For your situation, i've had issues with leaks before. just get an Enterprise plan from Tabnine. it's the only way for real privacy, tho it definitely isnt cheap.

yo, i feel u on the hype fatigue. honestly i'm still learning but Cursor Code Editor is actually pretty life-changing for messy react code cuz it reallyyy sees the whole context. if ur worried about privacy tho, maybe Sourcegraph Cody is safer? idk but they both feel way smarter than basic copilot tbh. good luck!!

Ok so, from a pure performance perspective, the biggest hurdle with legacy React/Node stacks is context window saturation. Most tools start hallucinating once the codebase grows because their retrieval logic gets bogged down by legacy junk. If youre doing deep refactoring, you reallyyy need to look at the reasoning density over long-range dependencies—it doesnt matter how fast it types if the architectural logic is flawed. TL;DR: Focus on the 'pass-at-k' performance on your specific repo rather than just raw autocomplete speed. Before you jump into a new tool, I've got two questions to help narrow it down:
1. Are you planning to run these evals against a specific internal benchmark, like your existing test suite's pass rate post-refactor?
2. What's your tolerance for token-to-action latency—are you looking for real-time IDE feedback or something that can run as a headless agent in your CI pipeline?

Exactly what I was thinking

Just wanted to say thanks for everyone chiming in. Super helpful discussion.