🔨 LLVM

IR, Code Generation, Optimization Passes, Toolchain

Fwupd 2.0.17 Brings Post-Quantum Signatures and Phased Updates
linuxiac.com·6h
🐧Linux Kernel
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Radar Trends to Watch: November 2025
oreilly.com·1d
🎭Program Synthesis
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Which AI Model Should You Use for Coding?
artiforge.ai·12h·
Discuss: r/webdev
🎭Program Synthesis
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Cure - Verification-First Programming for the BEAM
cure-lang.org·2d·
Discuss: Lobsters
📐TLA+
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Photonic implementation of quantum hidden subgroup database compression
arxiv.org·17h
⚛️Quantum Computing
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Flatpak Happenings
blog.sebastianwick.net·11h·
Discuss: Hacker News, r/linux
📄FlatBuffers
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We Tested 6 AI Models on 3 Common Security Exploits
blog.kilocode.ai·31m·
Discuss: Hacker News
🛡️AI Security
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I built a small ARM-like virtual system with a custom RTOS and C/C++ toolchain (BEEP-8)
reddit.com·2d·
Discuss: r/embedded
🖥️Emulation
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Decoding Kiroween
dev.to·1d·
Discuss: DEV
🦀Rust
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Rust Testing Framework: Build Reliable Code with Built-In Unit and Integration Tests
dev.to·1d·
Discuss: DEV
🦀Rust
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Introducing Agent-o-rama: build, trace, evaluate, and monitor stateful LLM agents in Java or Clojure
blog.redplanetlabs.com·2d·
Discuss: Hacker News
📨Apache Kafka
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Cons Should Not Cons Its Arguments, Part II: Cheney on the MTA
web.archive.org·2d·
Discuss: Hacker News
λFunctional Programming
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The Art of Luminous Code: A Journey with Dynamic `import()` in Node.js
dev.to·1d·
Discuss: DEV
🦀Rust Macros
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A Simple and Repeatable Approach to Evaluating LLM Outputs
dev.to·5h·
Discuss: DEV
💬Prompt Engineering
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Beyond the "Vibe Check": How to Use the Web Codegen Scorer to Master AI-Generated Code
dev.to·3h·
Discuss: DEV
⚙️JIT Compilation
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LA-MARRVEL: A Knowledge-Grounded and Language-Aware LLM Reranker for AI-MARRVEL in Rare Disease Diagnosis
arxiv.org·17h
🚀MLOps
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Enforcing Architecture in an Agent-Driven Codebase
phoebe.work·2d·
Discuss: Hacker News
🏗️Build Systems
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OpenSIR: Open-Ended Self-Improving Reasoner
arxiv.org·1d
🧮SMT Solvers
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LlamaBarn – automatically configure models based on your Mac's hardware
github.com·5h·
Discuss: Hacker News
🚀MLOps
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From raw text to training gold: How to collect and prepare data for custom LLMs
pub.towardsai.net·4h
💬Prompt Engineering
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