As it's initial relase, Beagle ships the official implementation of DarwinX as the core evolution algorithm: with an evolvable agent harness and verifier-backed tasks, DarwinX searches for harness changes that improve capability while guarding against regressions.

cool, added it in here https://ai.dosa.dev/tools/jackalope

I started my blog back in 2012; I was the only visitor for the first few years. Today in one month, I see 100K impressions :)

Agent Lightning v1.0.1 marks the first official release of the Agent Lightning Skill, which helps coding agents optimize other AI agents.

Provide an editable agent and a benchmark, and the skill guides systematic improvements to prompts, tools, workflows, models, and reasoning settings—balancing accuracy, cost, latency, and reliability through measured iteration.

Wondering why start a new foundation? Why not support the existing Linux distro? :thinking:

Omarchy is the existing distro

I meant, other than Omarchy, e.g. Cachy OS.

Omarchy is a product for a different audience. CachyOS is focused on gaming and is recognized even by non-Linux users. Omarchy targets developers/engineers, and Dell and others have devices like the XPS line that are high-end for demanding users. When x86 Windows devices aren't directly competing with Apple - for example, Dell XPS is - it can be beneficial to pull more people to Omarchy and high-end non-Apple laptops ;) Not to mention the user base from which you can recruit engineers and developers.

because these people all have fuck you money and it doesn't matter

It is not a GH alternative, unless it is available for everyone with unlimited private and public repos. :)

AI terms explained with simple examples, covering the buzzwords that keep flying around these days (artificial intelligence, machine learning, tokens, RAG, GPU, and a lot more).

SPs are also written by AI :)

A free, hosted MCP server for JMeter documentation is available at docs.jmeter.ai, allowing AI coding agents such as Claude Code, Qwen Code, and Cursor to retrieve grounded answers from actual docs rather than relying on potentially outdated training data. The server exposes two tools: one for searching documentation and one for retrieving full pages.