🧱 Chunking

Memory Strategy, Pattern Recognition, Information Grouping, Learning

Continuous Architecture: A decade of designing for change
continuousarchitecture.com·15h·
Discuss: Hacker News
📐Design Systems
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The 1337 PNG Hashquine (2022)
hackaday.com·12h·
Discuss: Hacker News
🔓DRM Analysis
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How JavaScript Works: The Runtime Environment
linkedin.com·19h·
Discuss: DEV
🎭Web Automation
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Maestro – The orchestration engine that replicates human judgment
news.ycombinator.com·19h·
Discuss: Hacker News
🏔️Alpine.js
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KTransformers Open Source New Era: Local Fine-tuning of Kimi K2 and DeepSeek V3
reddit.com·13h·
Discuss: r/LocalLLaMA
📉Model Quantization
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Building Yantra: A Visual Workflow Automation Engine
patali.dev·1d·
Discuss: Hacker News
📊Data Pipelines (ETL)
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Lessons from 70 interviews on deploying AI Agents in production
mmc.vc·18h·
Discuss: Hacker News
💬AI Code Assistants
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Searles's Chinese Room: Case study in philosophy of mind and cognitive science
cse.buffalo.edu·12h·
Discuss: Hacker News
🗃️Zettelkasten
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How I Built "Backend Mentor" My First Hands-On Integration with Mastra
dev.to·1d·
Discuss: DEV
💬AI Code Assistants
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Math.random, friend or foe?
dev.to·18h·
Discuss: DEV
💸Affordable LLMs
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ASAN: A conceptual architecture for a self-creating, energy-efficient AI system
github.com·1d·
Discuss: Hacker News
🔄Autonomous Agents
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Good abstractions for humans turn out to be good abstractions for LLMs
betweentheprompts.com·1d·
Discuss: Hacker News
💬AI Code Assistants
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From Zero to AI Agent: How I Built Codexa in 24 Hours with Mastra and Telex.im
github.com·19h·
Discuss: DEV
💬Prompt Engineering
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Writing Your First Compiler - Part 3: Lexical Analysis
dev.to·1d·
Discuss: DEV
🔧DSPy
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The best AI inference for your project. Blazing fast responses.
dev.to·1d·
Discuss: DEV
💬Prompt Engineering
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Coding Agents Are Outliers
vivekhaldar.com·7h·
Discuss: Hacker News
💬AI Code Assistants
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Set up RAG with Genkit and Firebase in 15 minutes
dev.to·1d·
Discuss: DEV
🔧DSPy
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Show HN: Extrai – An open-source tool to fight LLM randomness in data extraction
github.com·1d·
Discuss: Hacker News
📊Data Pipelines (ETL)
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Cons Should Not Cons Its Arguments, Part II: Cheney on the MTA
web.archive.org·1d·
Discuss: Hacker News
🔵Go
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Beyond the Black Box: Making LLM Decoding Truly End-to-End
dev.to·4d·
Discuss: DEV
🧩LLM Integration
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