Gemini 3.7 may have fast token output but holy cow does it waste it on useless output. Several times now I've given it a shot and watched it's reasoning trace go through a bunch of unnecessary / off-target steps…
What is the latency you are seeing with 5.4 no reasoning? And where have you landed for stt and tts solutions?
The tiring part for me is the waiting and/or context switching to fill that time. When agents of this intelligence or better can get you results in seconds instead of minutes we can start thinking single threaded again…
If you are talking about the Copilot built into vs code, that's not been my recent experience at all. Very capable in agent mode since gpt 5.4 came out.
It's optional, and that's great, because its necessity or benefit is situational.
Agree with this, though I've mostly been using Gemini CLI. Some of the simplest things, like applying a small diff, take many minutes as it loses track of the current file state and takes minutes to figure it out or…
I use markdown files in vs code. Supports folding of sections, combined with a few keyword/char patterns that I highlight different colors. Also get code highlighting in properly labeled code sections.
Did you find out what service he was using?
Well, pretty much everyone is less valuable than they think! I've bootstrapped and sold two startups, first time with 5 (!) equal cofounders and second time with 3. I've learned a lot along the way, obviously some of…
I just went through this process and ended up getting the HP Omnibook Ultra Flip with a core 7 258v, running Ubuntu 24.10. Performance is excellent, battery life is the best I've ever had on an Intel running Linux. If…
There are a number of semantic layer tools out there these days. Each has their own unique approach, but essentially it's a meta layer on top of your database that can be used to do things like form queries or provide a…
You are doing a lot of the work a semantic layer would do for you. I wonder if you would have better luck having the LLM talk to a semantic layer instead of directly to the database.
This is slightly less interesting now that I can have AI remember bash script syntax for me.
Happy to see them announce the new AMD chips in the 13", but the prices are a little nuts compared to what you can get elsewhere. I bet the desktop is interesting, but first I was in a 30m waiting room to access their…
Thanks for taking a look! Happy to chat, DM me here: https://bsky.app/profile/totalhack.bsky.social I have nothing against SQL of course. The simplified approach of a UI built on top of zillion or tools like it really…
If I'm understanding your intent correctly, I think you could do that with Zillion. https://github.com/totalhack/zillion Disclaimer: been sidetracked by an acquisition at my day job this year, intend to put more time…
Running a 2024 xps 13 with Ubuntu for work and it's been solid. Had a Lenovo before this which was great bang for the buck but occasional issues with heating up during sleep. Would consider trying a Framework next.
Expect was the first tool that really hooked me at my first job at Sun. I had to write a tool to automate verification of the boot process during firmware dev, handling variety of odd/unexpected behaviors, paths, and…
Is this more like text-to-semantic layer or does it throw the schema in the prompt and generate SQL with the llm?
Go f'in get 'em Scarlett.
This looks cool. I built a similar open source semantic data / warehousing tool called Zillion. I use it to power my company's BI but haven't put as much time into the polish as you guys.…
Loans. Loans are how this happened.
I also assumed this was an April fool's joke from the other terraform.
Zillion queries happen in two layers... It first runs one or more queries against your DataSources in a drill-across query fashion. You can think of DataSources as one or more completely separate databases. You could…
The lack of a semantic layer and join limitations are what made me pass on superset, but that was a couple years ago so maybe those features have been added. I built my own semantic layer instead. I use this in…
Gemini 3.7 may have fast token output but holy cow does it waste it on useless output. Several times now I've given it a shot and watched it's reasoning trace go through a bunch of unnecessary / off-target steps…
What is the latency you are seeing with 5.4 no reasoning? And where have you landed for stt and tts solutions?
The tiring part for me is the waiting and/or context switching to fill that time. When agents of this intelligence or better can get you results in seconds instead of minutes we can start thinking single threaded again…
If you are talking about the Copilot built into vs code, that's not been my recent experience at all. Very capable in agent mode since gpt 5.4 came out.
It's optional, and that's great, because its necessity or benefit is situational.
Agree with this, though I've mostly been using Gemini CLI. Some of the simplest things, like applying a small diff, take many minutes as it loses track of the current file state and takes minutes to figure it out or…
I use markdown files in vs code. Supports folding of sections, combined with a few keyword/char patterns that I highlight different colors. Also get code highlighting in properly labeled code sections.
Did you find out what service he was using?
Well, pretty much everyone is less valuable than they think! I've bootstrapped and sold two startups, first time with 5 (!) equal cofounders and second time with 3. I've learned a lot along the way, obviously some of…
I just went through this process and ended up getting the HP Omnibook Ultra Flip with a core 7 258v, running Ubuntu 24.10. Performance is excellent, battery life is the best I've ever had on an Intel running Linux. If…
There are a number of semantic layer tools out there these days. Each has their own unique approach, but essentially it's a meta layer on top of your database that can be used to do things like form queries or provide a…
You are doing a lot of the work a semantic layer would do for you. I wonder if you would have better luck having the LLM talk to a semantic layer instead of directly to the database.
This is slightly less interesting now that I can have AI remember bash script syntax for me.
Happy to see them announce the new AMD chips in the 13", but the prices are a little nuts compared to what you can get elsewhere. I bet the desktop is interesting, but first I was in a 30m waiting room to access their…
Thanks for taking a look! Happy to chat, DM me here: https://bsky.app/profile/totalhack.bsky.social I have nothing against SQL of course. The simplified approach of a UI built on top of zillion or tools like it really…
If I'm understanding your intent correctly, I think you could do that with Zillion. https://github.com/totalhack/zillion Disclaimer: been sidetracked by an acquisition at my day job this year, intend to put more time…
Running a 2024 xps 13 with Ubuntu for work and it's been solid. Had a Lenovo before this which was great bang for the buck but occasional issues with heating up during sleep. Would consider trying a Framework next.
Expect was the first tool that really hooked me at my first job at Sun. I had to write a tool to automate verification of the boot process during firmware dev, handling variety of odd/unexpected behaviors, paths, and…
Is this more like text-to-semantic layer or does it throw the schema in the prompt and generate SQL with the llm?
Go f'in get 'em Scarlett.
This looks cool. I built a similar open source semantic data / warehousing tool called Zillion. I use it to power my company's BI but haven't put as much time into the polish as you guys.…
Loans. Loans are how this happened.
I also assumed this was an April fool's joke from the other terraform.
Zillion queries happen in two layers... It first runs one or more queries against your DataSources in a drill-across query fashion. You can think of DataSources as one or more completely separate databases. You could…
The lack of a semantic layer and join limitations are what made me pass on superset, but that was a couple years ago so maybe those features have been added. I built my own semantic layer instead. I use this in…