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Why agents do not write most of our code – a reality check
octomind.dev·18h·
Discuss: Hacker News
👨‍💻AI Coding
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7 Prompt Engineering Tricks to Mitigate Hallucinations in LLMs
machinelearningmastery.com·1d
💬Prompt Engineering
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Creating a Linux Application Using VSCodium, Cline, OpenRouter, and Claude
taosecurity.blogspot.com·12h·
Discuss: www.blogger.com
🔧DevOps
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Deflanderization for Game Dialogue: Balancing Character Authenticity with TaskExecution in LLM-based NPCs
paperium.net·21h·
Discuss: DEV
💬Prompt Engineering
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The Symfony/HttpClient Cookbook: 4 Enterprise Patterns You Haven’t Seen
httpbin.org·1h·
Discuss: DEV
⚡FastAPI
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Fast, Scalable LDA in C++ with Stochastic Variational Inference
github.com·21h·
Discuss: r/cpp
🗂️Vector Databases
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Engineering.ai: A Platform for Teams of AI Engineers in Computational Design
arxiv.org·7h
💬Prompt Engineering
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Prompt Injection as an Emerging Threat: Evaluating the Resilience of Large Language Models
arxiv.org·7h
💬Prompt Engineering
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Why Most DevOps Engineers Only Scratch the Surface of Docker and Kubernetes (and How to Go Deeper)
dev.to·1h·
Discuss: DEV
🔧DevOps
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Context7 is the most underrated MCP server you're not using for your local LLM
xda-developers.com·10h
💬Prompt Engineering
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Good abstractions for humans turn out to be good abstractions for LLMs
betweentheprompts.com·21h·
Discuss: Hacker News
👨‍💻AI Coding
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Context Engineering for Agents
pub.towardsai.net·1d
💬Prompt Engineering
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Build an AI Summarizer Agent in TypeScript Using Mastra (Part 1)
dev.to·2h·
Discuss: DEV
👨‍💻AI Coding
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Writing an LLM from scratch, part 27 – what's left, and what's next?
gilesthomas.com·11h·
Discuss: Hacker News
💬Prompt Engineering
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[P] triplet-extract: GPU-accelerated triplet extraction via Stanford OpenIE in pure Python
reddit.com·10h·
Discuss: r/MachineLearning
🗂️Vector Databases
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Building a Prompt Engineering Toolkit for Developers
amzn.to·2d·
Discuss: DEV
💬Prompt Engineering
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Why We Migrated from Python to Node.js
blog.yakkomajuri.com·20h·
Discuss: Hacker News, r/node
⚡FastAPI
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The Infrastructure of Modern Ran king Systems, Part 2: The Data Layer - Fueling the Models with Feature and Vector Stores
shaped.ai·1d
🗂️Vector Databases
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TypeScript: Our Beloved, Overbearing Safety Net
dev.to·1d·
Discuss: DEV
🔷Typescript
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Post-training methods for language models
developers.redhat.com·5h
💬Prompt Engineering
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