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Tae Kim

New York
As seen in: Key Context by Tae Kim, Medium, MSN, MSN Canada, O Globo, Bloomberg News, Bloomberg Opinion, Color Research & Application, Emerging Infectious Diseases, ETTech.com, MSN India and
"Key Context" Substack covering Nvidia/AI. Reached #1 new bestseller in first 24 hrs Subscribe taekim.substack.com "Be so good they can't ignore you"
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Articles

Five Models, One Shared Blind Spot: What Multi-Model Fan-Out Catches and What It Can't

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By Tae Kim
| DEV Community
Originally published on hexisteme notes. I run a small measurement lab over my own agent fleet's behavior logs — not a demo, a database that gets queried, and conclusions that get acted on. So when I wanted a second opinion on one analysis, I didn't want vibes.
Open in Who Shared Issue with article?

Instrument First, Then Prompt: Finding Real Agentic Pipeline Bugs

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By Tae Kim
| DEV Community
The default reaction when an agentic pipeline misbehaves is to open the system prompt and start rewriting it. The instinct makes sense — the prompt is visible, editable, and feels like the thing you control. The problem is that the prompt is almost never where the bug is. What Actually Breaks Three failure modes come up repeatedly in production agentic systems, and none of them are prompt problems. Chunk boundary truncation. The agent retrieved the right document and extracted the right section.
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China's Kimi K3 AI Model May Trigger a DeepSeek Moment. Expect a Lot of FUD.

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By Tae Kim
| Key Context by Tae Kim
It looks like China just made a major advance in the AI model space. On Thursday, Moonshot released Kimi K3, which performed well on many major benchmarks, approaching the frontier, ahead of Anthropic’s Opus 4.8 and OpenAI’s GPT 5.5, though generally behind the most advanced models, Anthropic’s Fable and OpenAI’s GPT 5.6. Moonshot said in a blog post that it plans to release the full model weights by July 27, 2026.
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