aszen

6 hari yang laludiscuss

Won't surprise me if the llm just calls sleep after it's convinced it knows all

8 hari yang laludiscuss

And does it actually use it

8 hari yang laludiscuss

Is your plugin just skills or does it have custom agents?

My own experience is that Claude will use your skills but will ignore your agents or custom search tools.

aszen

2 bulan yang laludiscuss

Claude code already fans out and sandboxes context by calling sub agents so I'm not sure this approach brings much benefit there. A complex search strategy only makes sense if the search is slow and compute intensive.

aszen

2 bulan yang laludiscuss

Coding agents prefer to do iterative search, I have yet to see them create a complex search script. They try different search cmds in parallel, evaluate their results and then refine or dive deeper.

This approach usually works great but I can see many use cases where a smarter search strategy may make sense especially to optimize context.

aszen

3 bulan yang laludiscuss

By slowing down engineers with ai agents adding multiple code reviews on top. Also encouraging engineers to engage in manual testing themselves to better understand the product.

aszen

3 bulan yang laludiscuss

Claude code is not infra, the model is the infra. They changed settings to make their models faster and probably cheaper to run too. Honestly with adaptive thinking it no longer matters what model it is if you can dynamically make it do less or more work.

aszen

3 bulan yang laludiscuss

Same here. Reviewing gets harder too and multi tasking kills any kind of productivity if you need to review the code then.

My approach these days is to do one change at a time, until I can fully merge it with confidence.

aszen

4 bulan yang laludiscuss

This is quite interesting, will try it. I kind of expect this to be done continuously as the code base changes.

aszen

4 bulan yang laludiscuss

This article doesn't mention the moat of data gathering, frontier AI labs have a huge advantage in curating proprietary datasets from actual usage of their platforms.

This in turn allows them to optimize their models for the long tail of tasks that open weight models can't compete with.

Another factor is that pure intelligence isn't enough, how the model communicates is a huge plus. An enterprise used to talking to Claude all day won't be easy to switch to another model

aszen

5 bulan yang laludiscuss

Seems like you are testing llms genric abilities rather than your actual agent logic.

Llms are like vendor code you don't need to test them yourself people already created benchmarks for that.

aszen

5 bulan yang laludiscuss

If you buy real handcrafted scarves they are both thinner and warmer than anything factory made bcz of their choice of pashmina wool.

aszen

5 bulan yang laludiscuss

So the new implementation always operates at the line level, replacing one or more lines. That's not ideal for some refactorings like rename where search and replace is faster.

Edit

Checking ohmypi The model has access to str replace too so this is just a edit till

aszen

6 bulan yang laludiscuss

I bet writing the code directly could have been even faster, llms aren't magically fast

aszen

6 bulan yang laludiscuss

https://devenv.sh/integrations/secretspec/

aszen

6 bulan yang laludiscuss

I wonder why we are even storing secrets in .env files in plain text

aszen

6 bulan yang laludiscuss

How? You don't know what the llm was trained on and don't know if it has any bias. Imo llms are a disaster for knowledge work because they act like a black box.

aszen

6 bulan yang laludiscuss

Stupid question but why not use a local sandbox for yolo mode instead of a remote machine.

Is there a similar service that runs locally?

aszen

7 bulan yang laludiscuss

Agreed it probably contributes to the model improving for all agents but crucially it is verifiably better against their own agent. So they get a good feedback loop to improve both

aszen

7 bulan yang laludiscuss

They nailed down the UX I would say and the models themselves are a lot better even outside of CC

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