3. a coding agent that is cheaper, faster, more predictable, and dramatically more capable out of the box — because 584 of its 606 tools never touch a model at all. Repo : https://github.com/corporatepiyush/yantra-coding-agent
Even if TOP 250 npm packages are refactored through AI coding agent from security, performance and user friendly API point of view, the whole JS ecosystem will be in different shape.
Same is applicable for other language community, of course
The smart way to keep people passive and obedient is to strictly limit the spectrum of acceptable opinion, but allow very lively debate within that spectrum
All over the place, from the popular culture to the propaganda system, there is constant pressure to make people feel that they are helpless, that the only role they can have is to ratify decisions and to consume.
The whole educational and professional training system is a very elaborate filter, which just weeds out people who are too independent, and who think for themselves, and who don't know how to be submissive, and so on — because they're dysfunctional to the institutions.
If we don't believe in freedom of expression for people we despise, we don't believe in it at all.
- Reduce Page Size from 8KB to 4KB, great for write heavy operations and indexed reads. Needs to compile source with those flags, cant configure once installation is done.
- Increase Buffer cache
- Table partitioning for UNLOGGED Table which the author is using
- At connection session level, lower the transaction level from SERIALIZABLE
- The new UUID7 in PG 18 as a key might also help as primary indexed KEY type as it also supports range queries on timestamp
Recently used MemorySegment in Java, it is extremely good. Just yesterday i implemented Map and List interface using MemorySegment as backing store for batch operations instead of using OpenHFT stuff.
Tried -XX:TLABSize before but wasnt getting the deserved performance.
Not sure about .NET though, havent used since last decade.
>Note that the best-case scenario is the elimination of the overheads above to 0, which is at most ~10% in these particular benchmarks. Thus, it's helpful to consider the proportion of GC overhead eliminated relative to that 10% (so, 7% reduction means 70% GC overhead reduction).
Wow. amazing to see of off-heap allocation can be that good
Thats why i got irritated and wanted something thats scalable and lightweight.
https://github.com/corporatepiyush/yantra-coding-agent