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May 1, 20268 min read

AdaL Is 100% Aligned with Andrej Karpathy: Human Understanding Is the Bottleneck of Agentic Engineering

Andrej Karpathy's shift from vibe coding to agentic engineering captures the real frontier for AI coding: not generating more code, but preserving quality, planning well, and making review faster. This is the layer AdaL is built for.

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#APR 22, 2026
6m

AutoScholar: An Agent Harness for Autonomous Literature Review

Literature review is one of those workflows that sounds simple until you actually do it. Search for papers, filter noise, read the promising ones, keep notes, rank what matters, avoid duplicates, and ...

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#APR 22, 2026
6m

The Last Harness You’ll Ever Build

Every team building serious AI agents eventually runs into the same wall. The model is not the real problem anymore. The real problem is everything around the model. You need the right system prompt...

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#APR 22, 2026
8m

Make Your Computer Work While You Eat Hotpot

The best workflow is not the one that looks the most impressive while you are staring at it. It is the one that keeps going when you stop staring at it. If you run coding agents, research loops, rem...

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#FEB 16, 2026
10m

The Ultimate Guide to Agentic Tool Calling: From Native Tool Calling to Best Custom Approach

LLMs don't generate the JSON tool calls you see in API responses. Behind the scenes, providers use XML tags, special tokens, and custom formats — then translate everything into OpenAI-compatible JSON. Here's what's really happening.

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#FEB 2, 2026
8m

How Far Are We From Autonomous Agents? I Ran 99 PRs to Find Out

I let AdaL run autonomously for one session, creating 99 PRs. The results reveal where AI agents actually stand today.

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#JAN 30, 2026
6m

A Deep Dive on Tools and Skills

MCP standardizes service access. Skills package knowledge. They're orthogonal—here's why you need both.

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