Day 27 - Create a simple blog page
vueschool.io·19h·
Discuss: DEV
⚛️React
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Stainless Docs Platform — Early Access
stainless.com·3d·
Discuss: Hacker News
📝Markdown
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Just know stuff (or, how to achieve success in a machine learning PhD) (2023)
kidger.site·1d·
Discuss: Hacker News
📐Linear Algebra
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TypeScript’s rise in the AI era: Insights from Lead Architect, Anders Hejlsberg
github.blog·3d·
Discuss: Hacker News
🦕Deno
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Build a System to Learn and Remember Technical Topics as a Developer
spin.atomicobject.com·2d·
Discuss: Hacker News
🗂️Obsidian
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Voiden: The API client that doesn't want your email address
reddit.com·3d·
Discuss: r/programming
🦕Deno
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TwIST: Rigging the Lottery in Transformers with Independent Subnetwork Training
arxiv.org·2d
🌳Tree-sitter
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Achieving Idempotency with the Inbox Pattern
dev.to·2d·
Discuss: DEV
🏰Tower
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Show HN: PyNIFE. 400-900× speedup for embedding-based retrieval pipelines
github.com·20h·
Discuss: Hacker News
🧮Vector Databases
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Build Galaga with ClojureScript & Scittle
clojurecivitas.github.io·1d
🕹️Itch.io
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🧠 The Ultimate Free JSON Formatter Online — Fast, Secure, and Built for Developers
dev.to·1d·
Discuss: DEV
🎨API Design
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Agentic Fork Squad: Multi-Agent Database Query Optimizer with Tiger Cloud Zero-Copy Forks
dev.to·13h·
Discuss: DEV
🤝Paxos
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Shifting Gears: What TDD Taught Me About Using AI Assistants
dev.to·3h·
Discuss: DEV
🎭Program Synthesis
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Vibecoding and the future of code security
dev.to·3d·
Discuss: DEV
🎭Program Synthesis
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⚙️ Part 2: Setting Up the Fastest SaaS Stack (Step-by-Step Guide)
dev.to·11h·
Discuss: DEV
📱Progressive Web Apps
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Working on a digital vault, looking for advice or examples (zero-knowledge, cryptography, encryption)
reddit.com·2d·
Discuss: r/rust
🦀Rust
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SafeMigrate: Never Fear Database Migrations Again with AI Agents
dev.to·1d·
Discuss: DEV
💰TigerBeetle
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LazyLLM, Easiest and laziest way for building multi-agent LLMs applications
github.com·4d·
Discuss: Hacker News
💬Prompt Engineering
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Tech With Tim: I Let 3 AIs Compete to Build the Same App…
dev.to·4h·
Discuss: DEV
🎭Program Synthesis
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RAGCap-Bench: Benchmarking Capabilities of LLMs in Agentic Retrieval AugmentedGeneration Systems
paperium.net·1d·
Discuss: DEV
🔍RAG
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