Reasoning with Sampling: Your Base Model Is Smarter Than You Think
aakaran.github.io·13h·
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The 6-Step Guide to Acing Your Coding Interview
yasminteles.com·2d·
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🔄AsyncIO
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MariaDB vs. PostgreSQL: Understanding the Architectural Differences That Matter
mariadb.org·1d·
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Scaling up Prime Video monitoring service reduced costs 90% (archive) (2023)
web.archive.org·3d·
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BoxLambda OS Software Architecture, First Draft
epsilon537.github.io·2d·
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⌨emacs
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Why Workflows Fail: The Indeterministic Business Problem
blog.dragonscale.ai·2d·
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Changing the AI narrative from liberation to acceleration
idratherbewriting.com·1d·
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Weighted Quantile Weirdness and Bugs
practicalsignificance.com·7h·
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Reflection
alexpolozov.com·11h·
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Ray Security – Predictive Data Security Platform
raysecurity.io·15h·
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Building our geospatial database in production
radar.com·1d·
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Code research projects with async coding agents like Claude Code and Codex
simonwillison.net·14h·
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Supercharging the ML and AI Development Experience at Netflix
netflixtechblog.medium.com·2d·
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The Death of the Demo
lielvilla.com·1d·
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🦀rust
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Using XDP for Egress Traffic
loopholelabs.io·1d·
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Read more
yugabyte.com·3d·
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AI Native Architecture: Intelligence by Design
sumant.bearblog.dev·1d·
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I Processed the Internet on a Single Machine to Find Valuable Expired Domains
blog.mbrt.dev·2d·
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From Signals to Reliability: SLOs, Runbooks and Post-Mortems
fatihkoc.net·4d·
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Automating error analysis for AI agents – what works and doesn't
atla-ai.com·2d·
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