LLVM Backend, Domain-Specific Language, Code Generation, Target Description

I used NotebookLM to learn about Python and I should have sooner
xda-developers.com·40m
💬Interactive REPLs
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Modern X86 Assembly Language Programming • Daniel Kusswurm & Matt Godbolt • GOTO 2025
youtube.com·3d
🔧Assembly DSLs
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Discovering physical laws with parallel symbolic enumeration
nature.com·2d
🔍ML Language
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New comment by mangecoeur in "Markdown is holding you back"
news.ycombinator.com·5h·
Discuss: Hacker News
🎨Domain-Specific Languages
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How Wipro PARI accelerates PLC code generation using Amazon Bedrock
aws.amazon.com·2d
🎭Program Synthesis
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Claude.md: Best Practices for Optimizing with Prompt Learning
arize.com·1d·
Discuss: Hacker News
JIT Optimizations
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Why Financial Sentiment Analysis Failed Without Explainability (And How I Fixed It)
github.com·21h·
Discuss: DEV
🚀Tokenizer Performance
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I Built a Fake-Data Generator for Developers and QA — Here’s Why It Matters
dev.to·1d·
Discuss: DEV
Code Formatters
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How I Built an AI That Talks to Your Database: A Journey into RAG
pub.towardsai.net·4d
📋Souffle Datalog
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"Is this just a wrapper?" (How a Reddit Comment Changed My Roadmap)
dev.to·6h·
Discuss: DEV
🎮Language Ergonomics
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Show HN: Building a no-code browser automation system for OSINT
github.com·3h·
Discuss: Hacker News
💬Interactive REPLs
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How I Built a Tech Event Discovery Platform with Real-Time Scraping
dev.to·4h·
Discuss: DEV
💬Interactive REPLs
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🚀 Deep Dive: The Uniface 3GL Call-In API & C Integration
dev.to·4h·
Discuss: DEV
🌉Cross-Platform FFI
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The Secret Life of Python: Bytecode Secrets - What Python Really Runs
dev.to·2d·
Discuss: DEV, DEV
📜Bytecode Interpreters
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Introducing Gati: The Backend That Builds, Scales, and Evolves Itself
dev.to·23h·
Discuss: DEV
📦Monorepos
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🛑 Stop Re-Writing RAG Pipelines: My Next.js + Pinecone Architecture ⚡️
dev.to·1d·
Discuss: DEV
🌪️V8 Pipeline
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Amazon introduces two benchmark datasets for evaluating AI agents’ ability on code migration
aws.amazon.com·3d
🚚Code Migration
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How to Compress Your Prompts and Reduce LLM Costs
dev.to·2d·
Discuss: DEV
🌊Streaming Lexers
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It's LIT! Reliability-Optimized LLMs with Inspectable Tools
arxiv.org·3d
🪜Recursive Descent
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