Similar - no (I'd be glad to be proven wrong), but you can find some small suppliers focused on specific niche like https://www.motedis.com if you need the profiles.
I found that a good tool helps a lot once I switched to Github Copilot app. It solved the friction and mental tax for me. I easily manage 4 sessions in parallel on same or different projects while 2 was max in the past. The bottleneck now is only in review and decision making.
Not that much - a bit better but still negligible. Prefill is highly parallelizable and benefits from many cores. NVidia GPU's simply have several times more cores than even Pros.
From personal experience - it works, but you won't get a comfortable time to first token (latency is high). The reason is that prefill on Macs is bad. You need to have a lot more cores to do it quick. It's close to instant for small models on NVidia GPU's but on Macs it takes a few seconds to get the answer for a simple prompt. And the time grows proportionally with your context size.
I wonder how it compares to https://github.com/refactoringhq/tolaria They look similarly scoped. I haven't used it yet and it's great that there is more choice now
The solution is called curated package feed. Using private one instead of default public package source, you get a trusted source. All updates should be done by first pulling the new packages to the private feed and only after passing the reviews - update.
A little bit of bureaucracy in form of best security practices helps with supply chain attacks.
And the best recommendation security teams can give - keep your SBOM strict, use min release age policy (sounds more like band-aid). That's a scary world to live in.
Are there any benchmarks/evals to see if this particular one is doing anything good comparing to, let's say, plan mode? How do you measure it actually works and you don't waste tokens and your personal time?
I fail to see any backing for claims 'boosting performance' and 'keeping costs low'