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How we cut repo-wide symbol indexing for LLM agents from 30s to 98ms

How we cut repo-wide symbol indexing for LLM agents from 30s to 98ms

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Comments 4
6 min read
Serving 500 concurrent LLM chats on one 4-core box with tier-aware queueing

Serving 500 concurrent LLM chats on one 4-core box with tier-aware queueing

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6 min read
I put an LLM agent on a static site for free. Here is the actual bill

I put an LLM agent on a static site for free. Here is the actual bill

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6 min read
Run Local LLMs on a Mac in 2026: Which Chip Runs Which Model, and Why Bandwidth Beats Cores

Run Local LLMs on a Mac in 2026: Which Chip Runs Which Model, and Why Bandwidth Beats Cores

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5 min read
What Happens When You Put a Lie Inside the Information an AI is Supposed to Trust?

What Happens When You Put a Lie Inside the Information an AI is Supposed to Trust?

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4 min read
I Thought I Used 1 Billion Tokens in Claude Code Last Week. Turns Out 97% Was Cache.

I Thought I Used 1 Billion Tokens in Claude Code Last Week. Turns Out 97% Was Cache.

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4 min read
Why Your AI App Is Failing in Production (And It’s Not an ML Problem)

Why Your AI App Is Failing in Production (And It’s Not an ML Problem)

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3 min read
Orchestrating 5 Agents in LangGraph Without Deadlocks

Orchestrating 5 Agents in LangGraph Without Deadlocks

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5 min read
Qwen Code vs Aider vs OpenCode: I Ran the Same 12 Tasks Through 3 Local CLI Agents on One RTX 4070

Qwen Code vs Aider vs OpenCode: I Ran the Same 12 Tasks Through 3 Local CLI Agents on One RTX 4070

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6 min read
Your Intel Laptop Can Run 30B Models Now. No NVIDIA. No Cloud. No Problem.

Your Intel Laptop Can Run 30B Models Now. No NVIDIA. No Cloud. No Problem.

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11 min read
vLLM reinvented the operating system, and nobody told you

vLLM reinvented the operating system, and nobody told you

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12 min read
Data Gravity: The Real Cost of API-First AI

Data Gravity: The Real Cost of API-First AI

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9 min read
Using Multiple LLM Providers with the Laravel AI SDK

Using Multiple LLM Providers with the Laravel AI SDK

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8 min read
Your system prompt isn't instructions. It's data.

Real-world examples from tuning a 31B model

Your system prompt isn't instructions. It's data.

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Comments 13
6 min read
LLM-as-a-Judge: Evaluating RAG Systems Beyond Exact-Match Metrics

LLM-as-a-Judge: Evaluating RAG Systems Beyond Exact-Match Metrics

Comments 3
13 min read
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