7.6.0 β€” Command, Sync & Go
activitypub.blogΒ·8h
πŸ”—ActivityPub
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I Compared Cursor Composer-1 with Windsurf SWE-1.5
youtube.comΒ·2dΒ·
Discuss: r/LLM
πŸ”§Abseil
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Refactoring Frontend Code Using the Factory Design Pattern β€” A Scalable Vue 3 Approach
medium.comΒ·2dΒ·
Discuss: r/programming
βš›οΈReact
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wayland global positioning
gitlab.freedesktop.orgΒ·3dΒ·
Discuss: r/linux
πŸ”’Futex
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Advancing the Lakehouse with Apache Iceberg v3 on Databricks
databricks.comΒ·4h
⚑ClickHouse
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Context rot: the emerging challenge that could hold back LLM progress
understandingai.orgΒ·2d
πŸ’¬Prompt Engineering
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Refreshing Apache XML Infrastructure
blog.adamretter.org.ukΒ·2dΒ·
πŸ“¦Protocol Buffers
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Show HN: CodeReviewr – Pay per review, not per developer
codereviewr.appΒ·14hΒ·
🌳Git
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After 2 months of coding, debugging, and second-guessing myself… my first product is live πŸŽ‰
reddit.comΒ·2dΒ·
Discuss: r/webdev
πŸ’¬Prompt Engineering
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Adopting Static Analysis Early Transforms Large Codebases (and Why It’s Not Just About Tools)
deepsource.comΒ·2dΒ·
Discuss: r/programming
πŸ”Reverse Engineering
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A Plan for 5-10%* Faster Free-Threaded JIT by Python 3.16
fidget-spinner.github.ioΒ·3dΒ·
βš™οΈJIT Compilation
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I made a Pythonic scripting language that compiles to native binaries (Otterlang)
reddit.comΒ·4dΒ·
Discuss: r/opensource
πŸ¦€Rust
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Any experience serving LLMs locally on Apple M4 for multiple users?
reddit.comΒ·10hΒ·
Discuss: r/LocalLLaMA
πŸ¦™Ollama
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Walking the Tightrope of LLMs for Software Development: A Practitioners' Perspective
arxiv.orgΒ·1d
πŸ¦™Ollama
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# πŸ” Your Laravel Search Takes 8 Seconds? Here's How I Cut It to 47ms with Elasticsearch
dev.toΒ·1dΒ·
Discuss: DEV
πŸ”Query Optimization
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SoK: Systematizing a Decade of Architectural RowHammer Defenses Through the Lens of Streaming Algorithms
arxiv.orgΒ·1d
🚧Memory Barriers
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Cleaner Terraform: Stop Writing Backwards Conditionals
dev.toΒ·23hΒ·
Discuss: DEV
πŸ“¦Serde
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Think Before You Retrieve: Learning Test-Time Adaptive Search with Small Language Models
arxiv.orgΒ·19h
πŸ”RAG
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From Experience to Strategy: Empowering LLM Agents with Trainable Graph Memory
arxiv.orgΒ·19h
πŸ’¬Prompt Engineering
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