AYANEO preps NEXT 2 gaming handheld launch: AMD Strix Halo APU with RTX 4060 performance
tweaktown.com·13h
🤖Embedded Go
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yesterday i ran a 30 player playtest in my F-ZERO fangame!
v.redd.it·2d·
Discuss: r/godot
🐹Minimal Go
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I built one ChatGPT prompt that works for absolutely any scenario
makeuseof.com·5h
💬Interactive REPLs
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TigerFans: Building a High-Performance Ticketing System with TigerBeetle
renerocks.ai·2d·
Live Coding
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Managing short-lived tokens — a small open-source config-driven solution
reddit.com·5h·
Discuss: r/opensource
💬Smalltalk VMs
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Level Up Your Laravel: Advanced Techniques for Elegant and Powerful Applications
dev.to·5h·
Discuss: DEV
🔧API Design
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My success story of sharing automation scripts with the development team
reddit.com·1d·
Discuss: r/devops
📚Self-Documenting Code
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QuAnTS: Question Answering on Time Series
arxiv.org·15h
📈Earley Parsing
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A new language for COBOL workloads, built on GO!
dev.to·5d·
Discuss: DEV
🐹Go Internals
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From Localhost to Live: Sharing Django Projects Seamlessly
dev.to·11h·
Discuss: DEV
Live Programming
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The Closure Trap: A JavaScript Bug That Shows Why Fundamentals Still Matter in the AI Era
dev.to·1h·
Discuss: DEV
📦Closure Conversion
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Agnico Eagle: Firing On All Cylinders, But Be Patient
seekingalpha.com·5h
🚀V8 Internals
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I created a package and dependency manager for Godot
github.com·21h·
Discuss: r/godot
📦Package Managers
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🧠 Soft Architecture (Part B): Emotional Timers and the Code of Care (Part 5 of the SaijinOS series)
dev.to·4d·
Discuss: DEV
🎮Language Ergonomics
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LLMs as Scalable, General-Purpose Simulators For Evolving Digital Agent Training
paperium.net·2d·
Discuss: DEV
💬Interactive REPLs
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Tool-Driven Behavioral Directives: How to Scale LLM Agents Without Prompt Spaghetti
dev.to·3d·
Discuss: DEV
🎨Domain-Specific Languages
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Automated Anomaly Detection in Turbulent Flows via Recursive Feature Space Expansion
dev.to·11h·
Discuss: DEV
🌪️V8 TurboFan
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Smart Chips, Steady Power: Boosting AI Performance with Voltage Drop Prediction
dev.to·1d·
Discuss: DEV
🔮CPU Branch Prediction
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Emergent Misalignment via In-Context Learning: Narrow in-context examples canproduce broadly misaligned LLMs
paperium.net·1d·
Discuss: DEV
🪜Recursive Descent
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Context-aware Learned Mesh-based Simulation via Trajectory-Level Meta-Learning
arxiv.org·15h
🌊Loop Invariant Motion
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