Bubblewrap does in 30 lines what Docker does in 30 layers. A deep dive into the Linux sandboxing technology that wraps Coding Agents in battle-proofed security.
For companies, Coding Agents are both an opportunity and a risk. Part 4 of our series maps out the three strategic options: ban, buy, or build — and why understanding the technology is non-negotiable for leaders.
Pi has no built-in boundaries — it operates with full user permissions. Part 3 of our series shows how to run Coding Agents safely using Dev Containers, and shares hard-won best practices for productive agent workflows.
A Coding Agent is only as good as its instructions and its tools. Part 2 of our series demystifies System Prompts, Tools, Skills, and why Pi deliberately keeps them minimal.
Coding Agents don’t just suggest code — they write, execute, and iterate on it autonomously. Part 1 of our series on practical Coding Agent adoption.
Managing PyTorch and CUDA versions across multiple projects often leads to ‘dependency hell.’ We explore why standard isolation tools fail and how VM-based solutions provide the ultimate fix for autoVI and other deep learning projects.
Why 3D leadership is essential for DeepTech projects to succeed. The final part of our series on Germany’s DeepTech innovation engine.
Why serverless DataFrame databases like ArcticDB are the superior choice for initializing real-time streaming in autoStreams compared to traditional OLAP engines.
When technical excellence doesn’t find its way to value. Part 3 of our series on Germany’s DeepTech innovation engine.
When laptop success crashes into hardware reality. Part 2 of our series on Germany’s DeepTech innovation engine.
Why brilliant research often fails to survive the ‘Real-World Atmosphere’. Part 1 of our series on Germany’s DeepTech innovation engine.
The multitude of Python environment management choices can leave even senior Python developers unsure of the best tool usage. This article describes how Palaimon reduced costs while increase productivity by choosing to use mamba/micromamba for environment management.
We enjoyed the oportunity to share our experience in form of a well received tutorial at PyCon US 2023. Engaging with the larger Python community at this major annual gathering for Python enthusiasts was very inspiring.
Palaimon got invited to talk about mathematical optimization involving uncertainty at the EuroSciPy 2022. Beside valuable exchanges with other experts, fascinating new python packages and their application, we gathered other interesting insights and values.
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