Claude.md: Best Practices for Optimizing with Prompt Learning
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โšกJIT Optimizations
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Global Optimization: Finding the Needle in a Haystack โ€“ Faster by Arvind Sundararajan
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๐Ÿ”Search Algorithms
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Your Codebase Is Probably Fighting Claude (Part 1)
ambient-code.aiยท1dยท
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โšกJIT Optimizations
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AK-TSYS: An enhanced active learning Kriging model for time-dependent system reliability analysis
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๐Ÿ”„Loop Optimization
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Modern X86 Assembly Language Programming โ€ข Daniel Kusswurm & Matt Godbolt โ€ข GOTO 2025
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๐Ÿ”งAssembly DSLs
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๐Ÿš€ Shift Left Performance Testing in Spring Boot: Stability Through Control
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๐Ÿ“ˆPerformance Tools
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Mastering Claude Code โ€” A Free Open-Source Handbook for Developers
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๐ŸŽญProgram Synthesis
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20x Faster TRL Fine-tuning with RapidFire AI
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๐Ÿš€PyPy JIT
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Automating Documentation Maintenance with Prodigy: A Real-World Case Study
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๐Ÿ“šSelf-Documenting Code
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Trying Out C++26 Executors
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๐Ÿ”ฎSpeculative Execution
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Show HN: Makefiles, Metalanguages, and Matrioshka Automata
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๐Ÿ”„Bootstrapping
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Three Strategies for Winning the AI Race With DevOps
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โšกJIT Optimizations
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Learning AI From Scratch: Streaming Output, the Secret Sauce Behind Real-Time LLMs
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๐ŸŒŠStreaming Lexers
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Taming the Data Beast: Build Pipelines That Bend, Not Break by Arvind Sundararajan
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๐Ÿ“‹JSON Parsing
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October 2024 Progress in Guaranteed Safe AI
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๐Ÿ“ˆMonotonic Logic
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I built a task system that survives Claude sessions and works across any AI tool - entirely made with Claude Code
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๐Ÿ’ฌInteractive REPLs
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Understanding LLMs as Pattern Machines, Not Thinking Partners
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๐ŸŽญProgram Synthesis
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How Wipro PARI accelerates PLC code generation using Amazon Bedrock
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๐ŸŽญProgram Synthesis
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๐Ÿ’ฅ Tech Talks Weekly #83
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๐Ÿ”—Language Toolchains
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