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MIT’s new ‘recursive’ framework lets LLMs process 10 million tokens without context rot
venturebeat.com·1d·
Discuss: Hacker News, r/technews
💸Affordable LLMs
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The Ultimate Prompt Strategy: How to Vibe Code Production-Ready Websites
dev.to·22h·
Discuss: DEV
💬AI Code Assistants
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Can We Build an NX Bit for LLMs
bogdandeac.com·1d·
Discuss: Hacker News
🦙Ollama
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AI-supported vulnerability triage with the GitHub Security Lab Taskflow Agent
github.blog·1d
💬AI Code Assistants
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A Better Practices Guide to Using Claude Code
kylestratis.com·1h
🔍Code Review Automation
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Evolution of LLMs use by a programmer
asfaload.com·15h·
Discuss: Hacker News
💸Affordable LLMs
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The three types of LLM workloads and how to serve them
modal.com·15h·
Discuss: Hacker News
💸Affordable LLMs
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OpenSkills – Stop bloating your LLM context with unused agent instructions
news.ycombinator.com·1h·
Discuss: Hacker News
🔧DSPy
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AI Writes Python Code, But Maintaining It Is Still Your Job
kdnuggets.com·1d·
Discuss: Hacker News
💬AI Code Assistants
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Designing AI-resistant technical evaluations
anthropic.com·6h·
Discuss: Hacker News
🔧DSPy
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Show HN: Upgrade from Ralph to Eric for a more autonomous AI
dbuild.dev·1d·
Discuss: Hacker News
💬AI Code Assistants
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Stop Writing Prompts Like This: Better Claude Code Communication
logic-leap.co.uk·12h·
Discuss: DEV
💬AI Code Assistants
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Conversation: LLMs and the what/how loop
martinfowler.com·17h
🔧Code Refactoring Patterns
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a transport layer for agentic apps
ably.com·10h·
Discuss: Hacker News
📡Event-Driven Architecture
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Thoughts on LLMs (closed- and open-source) in software development after one year of professional use.
ubaada.com·1h·
Discuss: r/LocalLLaMA
💸Affordable LLMs
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Codeless: From idea to software
anildash.com·8h
🔧Low-Code
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Without benchmarking LLMs, you're likely overpaying 5-10x
karllorey.com·1d·
Discuss: Hacker News
💸Affordable LLMs
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Why AI Keeps Falling for Prompt Injection Attacks
spectrum.ieee.org·19h·
Discuss: Hacker News, r/technews
🛡️AI Security
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AI Systems Performance Engineering
github.com·7h·
Discuss: Hacker News
⚡Performance Engineering
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Co-optimization Approaches For Reliable and Efficient AI Acceleration (Peking University et al.)
semiengineering.com·14h
🚀Performance
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