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Linux perf Examples
brendangregg.comยท18h
๐Ÿ“Šperf Tools
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AI for Software Engineering, not (only) Code Generation
dev.toยท8hยท
Discuss: DEV
๐ŸŽญProgram Synthesis
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Debugging ETW Event Drops in High-Throughput Applications
yasoob.meยท4h
๐Ÿ“ŠProfilers
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Think Your Python Code Is Slow? Stop Guessing and Start Measuring
towardsdatascience.comยท1d
๐Ÿ“ˆPerformance Tools
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Debug Production Without Redeploying
tracekit.devยท5h
โšกLive Coding
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I Built a Tiny Function Profiler That Changed How I Debug JavaScript
dev.toยท8hยท
Discuss: DEV
๐Ÿ›ก๏ธError Handling
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Seeking advice on building a strong C++ gameplay portfolio
reddit.comยท1hยท
Discuss: r/cpp
๐ŸงธToy Compilers
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Solved: TryHackMe Co-founder AMA: Get Hired in Cyber Security & Build Elite Teams.
wp.meยท9hยท
Discuss: DEV
๐Ÿš‚Cranelift IR
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AndroidใฎJUnitใƒ†ใ‚นใƒˆใฏ่ถ…ใƒ ใ‚บใ„ #ViewModel
qiita.comยท29m
๐ŸงชCompiler Testing
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Tracking Shell Scripts (and Python, Perl, etc.) with eBPF Is Hard
substack.bomfather.devยท1dยท
Discuss: Hacker News
๐ŸชคTrap Handlers
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Light-Weight Contexts: An OS Abstraction for Safety and Performance
usenix.orgยท1d
๐Ÿ“กBinary Protocols
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So We've Got a Memory Leakโ€ฆ
stevenharman.netยท1d
๐Ÿง Memory Ordering
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From Managed Threads to Independent Tasks: Rethinking Concurrency from Java to Go (Part 1)
dev.toยท3hยท
Discuss: DEV
๐ŸนGoroutine Scheduling
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From Intent to Proof: Dafny Verification for Web Apps
midspiral.comยท1dยท
Discuss: Lobsters, Hacker News
๐ŸŽฏSymbolic Execution
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Optimizing for the edge: Lessons from DOS, Turbo Pascal, and hardware constraints
allthingsopen.orgยท11h
๐ŸŽฏ99-Line Tools
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A Farmer Doesnโ€™t Know Coding, But Tries to Build an Executing Engine with LLMs and a Code Interpreter
reddit.comยท14hยท
Discuss: r/LocalLLaMA
๐Ÿ“œBytecode Interpreters
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Transaction Management: Making ACID Real
dev.toยท8hยท
Discuss: DEV
๐Ÿง Memory Models
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Optimizing Datadog at scale: Cost-efficient observability at Zendesk
datadoghq.comยท2d
๐Ÿ“ŠProfilers
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Show HN: AgentCmds โ€“ A directory of slash commands for AI agents
agentcmds.workยท16hยท
Discuss: Hacker News
๐Ÿ›ก๏ธError Handling
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Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems: 9781098119065: Computer Science Books @ Amazon.com
amazon.comยท22h
๐ŸŒณPersistent Data
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