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Feeding the LLM the Whole Thread: Prompt Chaining for Contextual Replies

Feeding the LLM the Whole Thread: Prompt Chaining for Contextual Replies

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7 min read
The first malicious MCP server was one line of code: the postmark-mcp rug pull

The first malicious MCP server was one line of code: the postmark-mcp rug pull

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3 min read
"Memory adherence is a systems problem. So which model lets you build the system?"

"Memory adherence is a systems problem. So which model lets you build the system?"

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4 min read
Your Commit History Is a Routing Header

Your Commit History Is a Routing Header

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6 min read
Stop Hooks as Hard Constraints: Enforcing Claude Code Behavior Outside the Model

Stop Hooks as Hard Constraints: Enforcing Claude Code Behavior Outside the Model

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6 min read
My RAG evaluation pipeline returned nan — here's what that taught me about Groq, RAGAS, and production LLM systems

My RAG evaluation pipeline returned nan — here's what that taught me about Groq, RAGAS, and production LLM systems

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7 min read
AI Agent 技术全景:从原理到实战

AI Agent 技术全景:从原理到实战

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1 min read
Rate Limiting and Backpressure for Enterprise AI APIs: The Part Nobody Designs Until It Breaks

Rate Limiting and Backpressure for Enterprise AI APIs: The Part Nobody Designs Until It Breaks

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3 min read
Amazon Bedrock Deployment Guide: From Environment Setup to Production Operations

Amazon Bedrock Deployment Guide: From Environment Setup to Production Operations

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4 min read
Your AI Gateway's 200 OK Is Lying to You — A Practical Guide to Response Validation

Your AI Gateway's 200 OK Is Lying to You — A Practical Guide to Response Validation

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4 min read
Refuted or Rate Limited

Refuted or Rate Limited

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1 min read
That 200 OK From Your LLM Gateway Probably Means Nothing

That 200 OK From Your LLM Gateway Probably Means Nothing

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4 min read
A skills marketplace sounds complicated. It is not. The core idea is simple: a directory where AI agents can discover and

A skills marketplace sounds complicated. It is not. The core idea is simple: a directory where AI agents can discover and

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5 min read
The prompt is the cheap part. The context is the product.

The prompt is the cheap part. The context is the product.

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6 min read
Adam: The Optimization Algorithm That Made LLMs Practical

Adam: The Optimization Algorithm That Made LLMs Practical

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5 min read
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