Is this true? Sometimes, AI allows for socratic thinking, this is, the conversation with the machine allows the thinker to go further as the AI thorws ideas to the conversation. Many times, the AI reasoning is not good enough, but like a friend that says a funny think that sparks an idea, the AI can help our brain to see other possible paths.
The AI doesn't need to be right to be helpful
Any conversation
azรฉrt aranyos, hogy egybลl sandbox-ba kell tenni (a Virtualbox egy sandbox), hogy szรฉt ne barmoljon mindent a gรฉpen vagy a szerveren, vagy mรกshol, azรฉrt alapvetลen bรฉkรฉs kis รกllatkรกk ezek az ai chatbotok, na
It's cute because you have to put it in a sandbox right away (Virtualbox is a sandbox) so it doesn't mess up everything on the machine or the server or anywhere else, but these AI chatbots are basically peaceful little animals, right?
signals. thinking about shifting my mental framework to identify signals instead of waiting for concepts to be assembled. exploring the amount of energy and opportunities for distractions through the operations of processing what just happened and what is happening to short circuit latent and unnecessary systems. cut through the assembly processes and identify the raw signals. recognizing that naming these "raw signals" is misleading. maybe, shifting observability lower in the stack.
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what?
we also launched Norma! :)
It checks AI-generated code for security, quality and maintainability while the agent is still working, rather than after a pull request opens. The output is deterministic. Here the demo link: portal.qualityclouds.ai/demo
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NIH syndrome? I am guilty of it too. I love implementing things from scratch, you learn a lot by doing so and you get to own the codebase end-to-end, so no surprises and fighting around othersโ choices. It can get exhausting too though, in the end I succumb to using off-the-shelf components because my primary goals move at a higher level.
Really glad to be using Haskell for work - especially in today's climate with agentic coding.
Our team uses containers to keep our development environment consistent across team members, though, and most agent sandbox approaches want to either offload your work fully to the cloud or they want to sandbox the agent harness process itself.
We're not ready for full cloud based development (yet?) and sandboxing just the agent doesn't work for us when the agent needs to run docker.


