No Need for Explanation
fakenous.substack.comยท3dยท
Discuss: Substack
โš–๏ธInference Rules
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The 6-Step Guide to Acing Your Coding Interview
yasminteles.comยท17hยท
Discuss: Hacker News
๐Ÿš€Code Motion
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The Joys (And โ€œJoysโ€) Of Being Good At My Job
broken-words.comยท15h
๐Ÿ›ก๏ธError Ergonomics
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Benchmarking Large Language Models and Privacy Protection
priv.gc.caยท2d
โšกTokenizer Benchmarks
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Cutting LLM Batch Inference Time in Half: Dynamic Prefix Bucketing at Scale
daft.aiยท13hยท
Discuss: Hacker News
๐Ÿ“กErlang BEAM
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How to evaluate and benchmark Large Language Models (LLMs)
together.aiยท1d
๐ŸLanguage Benchmarks
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Tech With Tim: 3 Unique Python Features You NEED To Know
dev.toยท20hยท
Discuss: DEV
๐Ÿ”€Control Structures
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Post-training methods for language models
developers.redhat.comยท23h
๐ŸชœRecursive Descent
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Introducing GoBetterAuth
github.comยท10hยท
Discuss: r/golang
๐ŸŽฎLanguage Ergonomics
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Load Balancing 100,000 WebSockets (and Somehow Surviving It)
dev.toยท4hยท
Discuss: DEV
๐ŸŒHTTP Servers
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I Work in Healthcare, and I Built Syda to Solve One Simple Problem: Test Data
dev.toยท3hยท
Discuss: DEV
โš™๏ธConfiguration Parsing
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Building WriteRight: My Journey Creating an AI Writing Assistant with Mastra
dev.toยท1dยท
Discuss: DEV
๐ŸŽฎLanguage Ergonomics
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My dumb prompts that worked better
blog.nilenso.comยท1d
๐Ÿ”„Subinterpreters
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ARC-GEN: A Mimetic Procedural Benchmark Generator for the Abstraction and Reasoning Corpus
arxiv.orgยท1d
๐Ÿ“‹Tablegen
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LLM-Driven Cost-Effective Requirements Change Impact Analysis
arxiv.orgยท1d
๐ŸššCode Migration
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Quantum Network Tomography for General Topology with SPAM Errors
arxiv.orgยท1d
๐Ÿ“กBinary Protocols
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Bitcoin Core now has an interface for its consensus code - TheCharlatan
github.comยท12h
๐Ÿ”งAPI Design
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Variational Geometric Information Bottleneck: Learning the Shape of Understanding
arxiv.orgยท1h
๐Ÿ—บ๏ธRegion Inference
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How I Built "Backend Mentor" My First Hands-On Integration with Mastra
dev.toยท1dยท
Discuss: DEV
๐Ÿ”ฎMetacircular Evaluators
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๐Ÿš€ TOON (Token-Oriented Object Notation) โ€” The Smarter, Lighter JSON for LLMs
dev.toยท2dยท
Discuss: DEV
๐Ÿ“‹JSON Parsing
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