We built a collaboration platform on Claude Code. Here's what we learned.
gbase.ai·13h·
Discuss: r/ClaudeAI
🤖Automation
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Adding New Capability in Existing Scientific Application with LLM Assistance
arxiv.org·1d
🏭Code Generation
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Gen AI Grows Up: Building Production-Ready Agents on the JVM • Rod Johnson • GOTO 2025
youtube.com·28m
📱Edge AI
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OSS updates September and October 2025
blog.michielborkent.nl·2d
🔵Clojure
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My first fifteen compilers (2019)
blog.sigplan.org·4d·
Discuss: Hacker News
🔨Compiler Design
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Readable Code Is Unreadable
blog.wilsonb.com·1d·
Discuss: Hacker News
🏭Code Generation
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100 Techniques for Writing Readable Rust Code
github.com·9h·
Discuss: r/rust
🦀Rust Macros
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Crushing ML Latency: The (Un)Official Best Practices for Systems Optimisation
pub.towardsai.net·8h
🚀Performance
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Minimalistic CLAUDE.md for new projects: Follow SOLID, DRY, YAGNI, KISS
reddit.com·10h·
Discuss: r/ClaudeAI
🔨Incremental Compilation
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Continuous Autoregressive Language Models
shaochenze.github.io·10h·
Discuss: Hacker News
📱Edge AI
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Why is AI Generated Rust slow when compared with Go/C#/Node/JavaScript
srid68.github.io·22h·
Discuss: Hacker News
🦀Rust
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CHIP8 – writing emulator, assembler, example game and VHDL hardware impl
blog.dominikrudnik.pl·1d·
Discuss: Hacker News
🖥️Emulation
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Dive into Systems
diveintosystems.org·1d·
Discuss: Hacker News
⚙️Systems Programming
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Incremental Compilation in Recursive‑Descent Parser (Roslyn)
langdev.stackexchange.com·2d·
Discuss: Hacker News
🌳Tree-sitter
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Generating Application Specific Go Documentation Using Go AST and Antora
dev.to·1d·
Discuss: DEV
📚Technical Writing
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Low-Level Hacks
blog.raycursive.com·1d·
Discuss: Hacker News
🦀Rust
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Can-t stop till you get enough
cant.bearblog.dev·2d·
Discuss: Hacker News
🦀Rust Macros
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Doo: A Simple, Fast Programming Language Built on Rust and LLVM
news.ycombinator.com·2d·
Discuss: Hacker News
📦Serde
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Using Coding Agents to Decompile Nintendo 64 Games
blog.chrislewis.au·1h·
Discuss: Hacker News
🔓Binary Exploitation
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A Systematic Literature Review of Code Hallucinations in LLMs: Characterization, Mitigation Methods, Challenges, and Future Directions for Reliable AI
arxiv.org·1d
⚙️JIT Compilation
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