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Overview
5-minute code walkthrough of a specific feature, class, or method of popular open-source codebases. Click to read Code Pointer, by Yongkyun, a Substack publication with hundreds of subscribers.
News
The Architecture of Multi-Agent Systems
Multi-agent systems can configure agents with different roles, context, tools, permissions, and execution environments. That separation supports specialization, parallel work, failure containment, and verification against evidence independent of the agent
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What Actually Runs When You Start an AI Agent
Understanding how an agent works at each layer helps explain its behavior, locate failures, and improve the right part of the system. This post breaks one agent run into those layers and shows where to debug and which layer to improve. The next post cover
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How Kimi K3 Engineered Its Way to the Frontier
Kimi K3 is an open-weight model with 2.78T total parameters, 104B activated per token, and a 1M-token training context. The weights are on Hugging Face. Moonshot reports 88.3% on Terminal-Bench 2.1 against GPT-5.6 Sol's 88.8%, 42.0% on SWE-Marathon agains
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LLM Benchmarks, the Fine Line between Science and Marketing
Every frontier model launch leads with a benchmark table. Benchmark scores are also heavily used in comparison threads and in decisions about which model to build on. Some accept those numbers as a direct measurement of capability. Others have seen enough
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Lean The Proof Checker Behind Verifiable AI
An LLM can write a math proof that looks right but is wrong. For most text a wrong sentence is a nuisance, but for a proof it is fatal, because a proof only counts if every step holds. This is why people reached for Lean. Its checker either accepts a proo
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