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Linux perf Examples
brendangregg.com·16h
🔬Rust Profiling
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What I Learned Building a Storage Engine That Outperforms RocksDB
tidesdb.com·2h·
Discuss: Hacker News, r/programming
🪨RocksDB
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[Discussion] The "Noise" Bottleneck in Local 8B RAG – A comparison of cleaning strategies (Regex vs. Unstructured vs. Entropy)
reddit.com·5h·
Discuss: r/LocalLLaMA
🎖Text Quality Models
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Chrome DevTools for Debugging Web Performance
calendar.perfplanet.com·9h
🔧Developer tools
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The answer is in your heap: debugging a big memory increase in Ruby on Rails
island94.org·23h
🔬Rust Profiling
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Your Team Uses AI. Why Aren't You 10x Faster?
bits.logic.inc·5h·
Discuss: Hacker News
🏆LLM Benchmarking
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Jailbreaks Peak Early, Then Drop: Layer Trajectories in Llama-3.1-70B
lesswrong.com·11h
🔐Hardware Security
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Why is calling my asm function from Rust slower than calling it from C?
ohadravid.github.io·10h·
Discuss: Lobsters, Hacker News
🔬Rust Profiling
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Linux Kernel Highlights For 2025: Schedulers, Rust & Torvalds' Commentary
phoronix.com·12h
💫IO_uring
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Show HN: AgentCmds – A directory of slash commands for AI agents
agentcmds.work·14h·
Discuss: Hacker News
🔄GitHub Actions
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Virtualization: Theory to Silicon
pooladkhay.com·11h·
Discuss: Hacker News
⚙️Mechanical Sympathy
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Performance Hints for BigQuery
trmlabs.com·5h·
Discuss: Hacker News
⚙️Database Internals
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Zen-GC – policy-driven K8s garbage collection for automated cleanup
github.com·8h·
Discuss: Hacker News
💾Prompt Caching
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So We've Got a Memory Leak…
stevenharman.net·23h
🔬Rust Profiling
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Department of Computer Science and Technology – Technical reports: UCAM-CL-TR-949
cl.cam.ac.uk·2h·
Discuss: Hacker News
⚙️Mechanical Sympathy
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Flame Graphs vs. Tree Maps vs. Sunburst (2017)
brendangregg.com·13h·
Discuss: Hacker News
🔬Rust Profiling
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Debug Production Without Redeploying
tracekit.dev·3h
🔬Rust Profiling
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10 tools every developer needs in 2026
grokkingtechcareer.substack.com·11h·
Discuss: Substack
🔧Developer tools
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Your Team Needs an Operational Excellence Meeting
rsaul.com·5h·
Discuss: Hacker News
👨‍💻Software development practices
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Optimizing for the edge: Lessons from DOS, Turbo Pascal, and hardware constraints
allthingsopen.org·9h
🪄Prompt Engineering
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