swe_dima · HackerTrans

3 時間前議論

About the same, using cloudflare. For some very bizarre reason Vertex has a very low non-adjustable quota.

the writing is on the wall for it, I have switched to gemma-4-26b-a4b.

At least in benchmarks, it scores higher and is faster.

swe_dima

4 日前議論

"You were the chosen one! You were supposed to destroy them, not join them!"

swe_dima

8 日前議論

if I travel and expect to be working I now bring a CO2 meter

swe_dima

9 日前議論

If agent is asking a question it means it stumbled on something tricky and often an important architectural decision has to be made.

Even if I am staring at the screen at the time, it's often impossible to study code and make a judgement call that quickly.

My point being, even for opt-in it can be too short - highlights how little consideration they put into it, just releasing slop in production.

swe_dima

10 日前議論

Is it possible to use their subscription pricing with Opencode?

swe_dima

10 日前議論

many years ago when Hanami was just getting popular I remember doing benchmarks against Rails when it comes to SQL and was unpleasantly surprised when Rails' ActiveRecord ended up being much faster, despite "speed" being advertised as one of the advantages :-(

swe_dima

11 日前議論

Not sure what niche it's going to occupy: too expensive for it's intelligence category.

swe_dima

15 日前議論

Pleasantly surprised that it costs as GPT 5.5, thank god for the competition.

swe_dima

17 日前議論

I found Ruby LLM to be surprisingly good - in terms of usability it's close to Vercel's AI framework.

It tries to strike a balance between working out of the box and being flexible... which has its challenges, still nice overall.

One big real-life pain I experienced is that caches don't always work, e.g. for xAI, since it only supports completions API and thought signatures are returned wrong.

swe_dima

先月議論

Love Vite, but always felt sorry for them because it was not clear how they can make money, the whole VoidZero thing felt like a stretch.

It's one of those things that always stopped me from building cool tools - you have to make a living somehow.

So I am happy for the team of builders that they were able to receive the deserved payout and sustainability.

swe_dima

先月議論

I still don't understand how people use git worktrees with Docker. You need a full database and etc. For me it's simpler to have multiple checkouts.

swe_dima

2 か月前議論

the video on this post looked like a Tiktok - everything is jumping, I could barely grasp what was going on

swe_dima

2 か月前議論

You may remember the argument that you can build an AI app and it continues to improve as models improve and costs go down?

Well, looking at OpenAI / Google / Anthropic we see crazy cost increases, such that it might invalidate your unit economics.

Cheering for Chinese models!

swe_dima

2 か月前議論

Flash family but costs like a Pro. $9 vs $12 for output.

swe_dima

2 か月前議論

Is it basically about giving as much data as possible to insurance companies?

swe_dima

4 か月前議論

fair enough, thanks for elaborating

swe_dima

4 か月前議論

Maybe my pockets are not deep enough, but I completely fail to understand the value proposition of iPad Air vs the regular iPad. If you want something powerful or big - go with Pro, if not - choose the "regular", much cheaper.

What am I missing?

swe_dima

5 か月前議論

Since everyone is showing their flow, here's mine:

* create a feature-name.md file in a gitignored folder

* start the file by giving the business context

* describe a high-level implementation and user flows

* describe database structure changes (I find it important not to leave it for interpretation)

* ask Claude to inspect the feature and review if for coherence, while answering its questions I ask to augment feature-name.md file with the answers

* enter Claude's plan mode and provide that feature-name.md file

* at this point it's detailed enough that rarely any corrections from me are needed

swe_dima

5 か月前議論

Definitely my experience as well.

Another dimension to this is native vs 2nd language speakers.

For those of us who had to learn English, we put a lot of effort into grammar, while native speakers whip out half-baked sentences without a second thought.

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