Educational Compilers, Toy Languages, Learning Implementation, Minimal Design

Level 3: Building the Database Foundation with Rust + PostgreSQL
manjushaps.github.io·1d·
Discuss: DEV
🎓Educational Databases
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Cure - Verification-First Programming for the BEAM
cure-lang.org·2d·
Discuss: Lobsters
📡Erlang BEAM
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The Noise and the Signal
russmiles.substack.com·1d·
Discuss: Substack
🚂Error Propagation
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Supercharging the ML and AI Development Experience at Netflix
netflixtechblog.com·15h
Live Coding
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AI Function Calling: Composing and Decomposing Functions for Complex Tasks
lightcapai.medium.com·17h·
Discuss: Hacker News
🔗Lexical Scoping
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Cutting LLM Batch Inference Time in Half: Dynamic Prefix Bucketing at Scale
daft.ai·18h·
Discuss: Hacker News
📡Erlang BEAM
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How to code MPU-6050 on STM32CubeIDE?
dev.to·2h·
Discuss: DEV
🤖Embedded Go
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🧠 How Do Closures Work in JavaScript?
dev.to·5h·
Discuss: DEV
🔗Lexical Scoping
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Which AI Model Should You Use for Coding?
artiforge.ai·1h·
Discuss: r/webdev
🎮Language Ergonomics
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From user to implementer: My journey understanding coding agents
reddit.com·1d·
Discuss: r/programming
📚Self-Documenting Code
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I'm working on a project I've been dreaming about for months and it feels good
news.ycombinator.com·13h·
Discuss: Hacker News
🌙Lua
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[Tool] RE-Architect: Automated binary analysis with multiple decompilers + AI explanations
github.com·12h·
Discuss: r/programming
🔓Decompilers
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How to build a Heapless Vector using `MaybeUninit<T>` for Better Performance.
dev.to·23h·
Discuss: DEV
🔒Rust Borrowing
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Deep Dive into Scala 3 Macros: Building a Custom String Interpolator
dev.to·2d·
Discuss: DEV
🦀Rust Macros
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Autark: Rethinking build systems – Integrate, Don't Outsource
blog.annapurna.cc·20h·
🔄Bootstrapping
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The Riddle of Reflection: Evaluating Reasoning and Self-Awareness in Multilingual LLMs using Indian Riddles
arxiv.org·1d
🌱Minimal ML
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I Use AI
ben.stolovitz.com·21h·
Discuss: Hacker News
💬Interactive REPLs
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Adding New Capability in Existing Scientific Application with LLM Assistance
arxiv.org·1d
📋Tablegen
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FairAIED: Navigating Fairness, Bias, and Ethics in Educational AI Applications
arxiv.org·1d
🌱Minimal ML
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GrowthHacker: Automated Off-Policy Evaluation Optimization Using Code-Modifying LLM Agents
arxiv.org·1d
Partial Evaluation
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