A self-healing layer for NixOS. It tracks what your system should be, what it is, and whether it's healthy, and repairs the difference through journaled, revertible transactions, with a wat...
Declarative Server with NixOS: A Reproducible Infrastructure | Mustafa Erbay
A technical guide exploring how to create a declarative server configuration with NixOS, covering reproducibility and rollback processes.
Nix & NixOS | Reproducible builds and deployments
Nix is a tool that takes a unique approach to package management and system configuration. Learn how to make reproducible, declarative and reliable systems.
Embracing ATProto, part 1: Setting up a PDS
In this series of posts, I'll explore my journey into setting up my workflows and services for atproto. The first step is setting up my PDS. Let's start with a bit of explanation for all this lingo.
Preface - Nix Pills
This is a ported version of the Nix Pills, a series of blog posts written by Luca Bruno (aka Lethalman) and originally published in 2014 and 2015. It provides a tutorial introduction into the Nix package manager and Nixpkgs package collection, in the form of short chapters called ‘pills’.
hoenn/nix/modules/aly/skills/walkthrough-change/SKILL.md at master · devon-systems/hoenn
NixOS, nix-darwin, and Home Manager configurations, ft. niri+noctalia dotfiles + homelab. - devon-systems/hoenn
I've gone full Nix: Proxmox to NixOS + Incus | Bas Nijholt
After years of running a Proxmox cluster, I migrated my entire homelab to NixOS with Incus. I explain the philosophical friction of imperative 'appliance' OSs vs declarative hosts, share how I migrated my LXC/VM workloads, and why it is the perfect infrastructure to manage using AI agents.
Please Stop Using `nixos-rebuild switch`
Better practices for safely and reliably deploying and updating NixOS systems.
nix-community/fenix
Rust toolchains and rust-analyzer nightly for Nix [maintainers=@figsoda, @winterqt, @eureka-cpu]
Tracking NixOS option values and dependencies | oddlama's blog
oddlama's personal web page and blog
FlowBench: separating planning, fault recovery and interpretation in agentic bioinformatics
Agentic large language model (LLM) systems are being deployed in bioinformatics faster than they are understood, and single-metric evaluations conflate capabilities that fail independently. We introduce FlowBench, a benchmark that decomposes agentic bioinformatics performance into planning, fault recovery, biological interpretation, and end-to-end output-fidelity. Existing systems achieve high plan completeness, but their closed, single-provider designs prevent attribution of performance to scaffolding versus the underlying model. We therefore built FlowAgent, a modular, provider-agnostic framework whose components can be selectively disabled and whose backbone model can be swapped across providers on a shared harness, and used it to evaluate 23 models from three main providers. Three findings emerge. First, generating a valid workflow plan from a named toolchain is largely solved, whereas inferring an appropriate toolchain from biological intent alone is uniformly difficult regardless of model tier, compressing all models into a narrow 44–57% pass-rate band. Second, ablation shows that the dependency-structured plan and a completeness-reflection step drive performance, while adding a same-context validator-driven retry makes structural quality worse. Third, fault recovery and data-grounded interpretation remain unsolved. Models frequently propose fixes that force a clean exit while leaving the underlying data invalid, and data-grounded interpretation lags internal-knowledge recall by a consistent margin. Safety does not emerge from capability, and reasoning-tier models were among the least reliable at recognising unrecoverable faults. Once planning saturates, agent architecture and refusal calibration, not model scale, are the productive frontier. Availability and implementation FlowAgent and FlowBench are available under a GPLv3 licence at <https://github.com/EnteloBio/flowagent> Contact adam{at}entelo.bio ### Competing Interest Statement The authors are current employees of Entelo Bio, with APC holding equity.
gitpod-samples/template-nixos
The NixOS template, configured for Gitpod (www.gitpod.io) to give you pre-built, nix based ephemeral operating system environments in the cloud.