jFriedensreich

The author misapplies/misunderstands the mythical man month even in the first example. It does not apply for idea generation and also not to problem solving/ fixing things, only to software creation. Even then, it also does not apply when creation is cheap, if you can generate 100 solutions cheaply without coordination between them and pick the winner with a relatively fast eval, creation behaves way more like fixing / problem solving.

im a user and support 100% smol, it also has features to use it with docker, though still requiring some fiddling at the moment

what proxy is he using? i support not trying to support a specific product in a post but not even mentioning what you use after writing this seems pretty odd.

Any details about the streaming ui lib they mention or about the format of the ui code? This could become really annoying to be fractioned among model providers with custom RL that required independent tools like open code to use each providers custom streaming UI libraries.

OpenJev decides a sandwich is 100% a sandwich when Jev says as sandwich is only 87% a sandwich. Not sure i like either of these results.

the answer to facebook being bad is obviously not block-listing but allow-listing content. we had the same learning in security years ago. what this might look like is ai assisted desired data extraction and using clients tailored to user needs and user agency to use that data. Unfortunately alternative platforms that are user aligned are not the solution as you cannot force your whole cities groups or old family members to move which is the main pain point for people who use adblockers and still also on facebook.

yes, especially compared to deno bun does not have proper isolation or permissions at runtime layer which is why anthropic tries to fix the lack by a mixture of app layer (build into claude code) and os layer (srt) however using runtime permissions would allow much better security if done right.

because their js code is so bad and slow that they need the bun performance hacks and optimisations.

What the hell, as far as i see this is not open source but has the tag line "Meet LM Studio Bionic, the AI agent made for open models" How can someone justify this complete clash of values, who is even an audience for something this. cursed, the agent and harness layer being open is probably more important than your models as you can just switch models every week and they are commodity.

I am confused by this article landing on front page, it does not seem to contain any new insights but besides mostly reading ok falls apart when mixing up model and harness comparison in an amateurish way. Why would the subpar search tool zai provides be relevant for comparing models? They did not even mention the >capability< to use said tools but talk about MCP/ search providers as if thats not an implementation detail.

separation of model and tooling is as important as legislative and judicative, and just ignore any tooling or harness not true open source. they will all slowly creep into your life and choke you trying to lock you in.

Does this even still matter? No good behaviour in the world can restore trust in claude code and in fact all of Anthropics tooling, apps and harness teams except the core model research which still produces great models but seemingly losing ground to z and openAI. The GLM 5.2 hype and the limited impact of the fable lock down should be clear signals that models have no moat and frontier labs will do anything in their power to lock users into their toxic ecosystem of tools and taking context hostage.

This issue was what had me give up on windows forever and its been around since forever. There are many situations when there is just no way to release files except restart. When the basics don't work nothing else even matters.

ps the refactoring it did as part of the solution was a bit verbose and had a few abstractions i knew would not be needed and asked it to remove but were solid otherwise.

I had a pretty involved cross module state bug with complex dependencies and also reactivity issues interleaved. I tried fixing it multiple times manually with 4h time box as well as claude models up to opus 4.6 high and codex 5.3 all which failed. When the GPT-Pro model came out i heard it was not supposed to be an everyday coding model but tried anyways as it looked impressive. It took a single 8h run burning 200$ with doing nothing but occasionally waiting for test runs or me writing “continue”. After 8 hours, and fearing i wasted the money, the bug was consistently fixed, not just one edge case that triggered the behavior.