MichaelAI vs. CogniFlow: A Developer's No-BS Guide to Enterprise AI Platforms
getmichaelai.comยท8hยท
Discuss: DEV
๐Ÿ”ŒAPIs
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Crushing ML Latency: The (Un)Official Best Practices for Systems Optimisation
pub.towardsai.netยท1d
๐Ÿš€Performance
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BoxLambda OS Software Architecture, First Draft
epsilon537.github.ioยท1dยท
Discuss: Hacker News
๐ŸงLinux
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The Swift AWS Lambda Runtime moves to AWSLabs
aws.amazon.comยท3h
โ˜AWS
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The state of SIMD in Rust in 2025
shnatsel.medium.comยท1dยท
๐Ÿš€Performance
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An introduction to program synthesis (Part II) - Automatically generating features for machine learning
mchav.github.ioยท1dยท
Discuss: r/programming
๐ŸŒณData Structures
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Show HN: Kumi โ€“ a portable, declarative, functional core for business logic
kumi-play-web.fly.devยท1dยท
Discuss: Hacker News
๐Ÿ”ŒAPIs
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The 5 FREE Must-Read Books for Every LLM Engineer
kdnuggets.comยท1d
๐Ÿ—๏ธSystems Design
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From Swift to Mojo and high-performance AI Engineering with Chris Lattner
newsletter.pragmaticengineer.comยท1d
๐Ÿš€Performance
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A C example with objects and a arena for allocations, what do you think?
reddit.comยท1dยท
๐Ÿ’ปProgramming
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Query Compilation Isn't as Hard as You Think
databasearchitects.blogspot.comยท8hยท
๐Ÿ—„๏ธDatabases
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Engineer's Guide to Local LLMs with LLaMA.cpp on Linux
avatsaev.substack.comยท13hยท
Discuss: r/LocalLLaMA
๐ŸงLinux
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Supercharging AI Model Building: Data and Task Parallelism with Ray and Databricks
databricks.comยท40m
๐Ÿš€Performance
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Accelerating LLM inference with speculative decoding: Lessons ...
linkedin.comยท20h
๐Ÿš€Performance
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A new language for COBOL workloads, built on GO!
dev.toยท1dยท
Discuss: DEV
๐ŸŒณData Structures
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Run LLMs Locally
ikangai.comยท1dยท
Discuss: Hacker News
๐Ÿš€Performance
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CHIP8 โ€“ writing emulator, assembler, example game and VHDL hardware impl
blog.dominikrudnik.plยท2dยท
Discuss: Hacker News
๐Ÿ’ปProgramming
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OSS updates September and October 2025
blog.michielborkent.nlยท3d
๐Ÿ’ปProgramming
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Create a MCP server from scratch
dev.toยท4hยท
Discuss: DEV
โ˜AWS
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GSoC 2025: Introducing an ABI Lowering Library
blog.llvm.orgยท3d
๐Ÿš€Performance
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