🏗️ MLIR

Multi-Level IR, LLVM, Dialects, Compiler Infrastructure

Tree Structured Agents and Context Subsets - SUBAGENTS++
reddit.com·1d·
Discuss: r/ClaudeAI
🌳Git Internals
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A Reverse Engineer's Anatomy of the macOS Boot Chain and Security Architecture
stack.int.mov·11h·
Discuss: Hacker News
🏷️Memory Tagging
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Why DETRs are replacing YOLOs for real-time object detection
blog.datameister.ai·20h·
Discuss: Hacker News
👁️Computer Vision
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Type-safe `net/rpc` alternative with context support
reddit.com·12h·
Discuss: r/golang
🔌gRPC
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Automating Documentation Maintenance with Prodigy: A Real-World Case Study
entropicdrift.com·1d·
Discuss: r/programming
🏗️Cranelift
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The Easiest Way to Build a Type Checker
jimmyhmiller.com·13h·
Discuss: Hacker News
🔍Type Inference
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Show HN: Use any LLM in Go with stable, minimal API
github.com·1d·
Discuss: Hacker News
🐹golang
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A dream of AI DLC A peek into the future based on tools and tech that we have
magistr.me·11h·
Discuss: Hacker News
🎭Program Synthesis
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OSS Friday Update
noteflakes.com·1d·
Discuss: Lobsters, Hacker News
🌊Glommio
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"Return To The Roots" is a fan-project, which aims to renew The Settlers 2
github.com·1d·
Discuss: Hacker News
🏗️Build Systems
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Beyond the Hype: How to Use AI to Actually Increase Your Productivity as a Dev
docker.com·1d
🎭Program Synthesis
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OSS interview-prep repo for AI, agent architectures and tool-calling
github.com·9h·
Discuss: Hacker News
🚀Actix
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Finally, an easy way to get LLMs to review your entire repo without losing context !
reddit.com·1d·
Discuss: r/programming
🌳Git
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My first flash loan protocol: A Solana adventure
dev.to·17h·
Discuss: DEV
🦀Rust
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The Engineering Guide to Efficient LLM Inference: Metrics, Memory, and Mathematics
pub.towardsai.net·2d
📊Profile-Guided Optimization
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InfoQ: Why Observability Matters (More!) with AI Applications
dev.to·3h·
Discuss: DEV
🦙Ollama
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Build your own cursor
dev.to·2h·
Discuss: DEV
💬Prompt Engineering
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[P] An open-source AI coding agent for legacy code modernization
reddit.com·1d·
Discuss: r/MachineLearning
💬Prompt Engineering
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Beyond Gradients: Democratizing Global Optimization with Adaptive Search
dev.to·7h·
Discuss: DEV
📊Optimization
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EARL: Entropy-Aware RL Alignment of LLMs for Reliable RTL Code Generation
arxiv.org·5d
📊Profile-Guided Optimization
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