build-systems

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#build-systems

Building (systems) software with Nix

Lobsters Hottest · 2026-07-28 Cached

A blog post discussing how Nix helps solve dependency and reproducibility issues in building systems software, particularly for fast-evolving subsystems like BPF and io_uring.

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#build-systems

Parallelizing Compilation: In-Process vs Multi-Process

Lobsters Hottest · 2026-07-21 Cached

Discusses two approaches to parallelizing compilation: multi-process (single-threaded compiler with build system spawning multiple instances) and in-process multi-threading (used by Rust and Zig). Compares trade-offs for language design.

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#build-systems

Structural Correctness

Hacker News Top · 2026-06-29 Cached

A technical blog post discussing how structural descriptions like type systems and build systems leverage graph-structured models to ensure correctness, highlighting the definitional nature of systems like Bazel.

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#build-systems

Nix needs relocatable binaries

Lobsters Hottest · 2026-06-22 Cached

The article identifies the problem that Nix binaries are not relocatable, causing hash changes and recompilation when the store prefix changes, and proposes using relative paths with $ORIGIN in RUNPATH to achieve relocatability without invalidating caches.

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#build-systems

The postmodern build system

Lobsters Hottest · 2026-06-01 Cached

A blog post exploring the design of an ideal 'postmodern' build system that prioritizes trustworthy incremental builds, maximized computation reuse, and distributed builds, using Nix as a reference point.

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#build-systems

You probably don't need Yocto, and that's fine

Lobsters Hottest · 2026-05-29 Cached

Argues that Yocto is often overkill for embedded Linux projects, advising developers to consider simpler alternatives to avoid maintenance burdens, especially under regulations like the CRA.

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#build-systems

Against Query Based Compilers

matklad · 2026-02-25 Cached

A technical blog post critiques query-based compilers, arguing that their effectiveness is limited by the dependency structure of the source language, particularly the avalanche effect where changes can propagate widely, making incremental updates often as expensive as a full rebuild.

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