Pure Functions, Type Classes, Monads, Lazy Evaluation, GHC

The Noise and the Signal
russmiles.substack.com·1d·
Discuss: Substack
🌪️Chaos Engineering
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GSoC 2025: Introducing an ABI Lowering Library
blog.llvm.org·2d
🚫Branch-Free Programming
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Compelling reasons to learn Ruby today
rubynewbie.org·11h·
Discuss: Hacker News
🔮Lisp Macros
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Famed software engineer DJB tries Fil-C and likes what he sees
theregister.com·2h·
Discuss: Hacker News
😴Lazy Evaluation
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Roadmap for Improving the Type Checker
forums.swift.org·5d·
📦Aeson
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Your ORM is Lying to You About SQL (CTEs Explained)
buttondown.com·2d·
Discuss: DEV
➡️Arrows
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Detailed Technical Documentation on AI Implementation Logic (Taking Large Language Models as an Example )
nbtab.com·1d·
Discuss: DEV
🔗Parser Combinators
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Building a Smart Task Tracker Agent for Telex.im with ASP.NET Core
dev.to·1h·
Discuss: DEV
💼Company Mode
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Biological Regulatory Network Inference through Circular Causal Structure Learning
arxiv.org·7h
🔗Systems Thinking
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I'm working on a project I've been dreaming about for months and it feels good
github.com·14h·
Discuss: r/webdev
📝Contract Testing
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TypeScript: Our Beloved, Overbearing Safety Net
dev.to·2d·
Discuss: DEV
🔮Lisp Macros
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Building a Production-Ready AI-Powered Robo-Advisor: From Concept to Cloud Deployment
dev.to·7h·
Discuss: DEV
👀Code Reviews
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LA-MARRVEL: A Knowledge-Grounded and Language-Aware LLM Reranker for AI-MARRVEL in Rare Disease Diagnosis
arxiv.org·7h
🤖Scikit-learn
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How did you guys ACTUALLY LEARN Godot? (And how do I?)
reddit.com·16h·
Discuss: r/godot
🎓Scheme
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Matrix Sensing with Kernel Optimal Loss: Robustness and Optimization Landscape
arxiv.org·7h
⛓️MCMC
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🚀 Exploring Go’s Core Features in Depth
dev.to·2d·
Discuss: DEV
🚫Branch-Free Programming
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DocPrism: Local Categorization and External Filtering to Identify Relevant Code-Documentation Inconsistencies
arxiv.org·1d
🔮Lisp Macros
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AI Coding Tricks That Actually Improve Results! 🧙‍♂️
dev.to·20h·
Discuss: DEV
👀Code Reviews
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Merging Continual Pretraining Models for Domain-Specialized LLMs: A Case Study in Finance
arxiv.org·7h
🔗Parser Combinators
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Automated Variant Calling Refinement via Multi-Modal Neuro-Symbolic Integration (AMVR-MNSI)
dev.to·18h·
Discuss: DEV
🤖Scikit-learn
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