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Jul 8, 202610 min read
Loop Engineering For Everyone
Loop engineering is clearly where we're heading. The missing piece is making it simple enough and affordable enough that every engineer can actually use it.
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Curated reads from the SylphAI team on agents, product releases, and the community building around production AI.
#MAY 31, 2026
6mTrue Autonomous Coding Agents Require Browser Use
A coding agent that cannot use a browser is not truly autonomous. Because the real production bugs do not live in the code — they live in the cookies, hydration, redirects, DOM, and the actual clicks...
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#MAY 1, 2026
8mAdaL 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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#MAY 1, 2026
9mThe Top Production Blockers for AI Agent Builders
At Claws Out: Hard Problems Night with GMI Cloud and WorkOS, 256 confirmed builders told us what they are building and what is blocking them. The pattern was clear: agent teams are no longer short on demos. They are short on reliability, scaling, and review velocity.
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#APR 22, 2026
6mAutoScholar: 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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#MAY 31, 2026
6mTrue Autonomous Coding Agents Require Browser Use
A coding agent that cannot use a browser is not truly autonomous. Because the real production bugs do not live in the code — they live in the cookies, hydration, redirects, DOM, and the actual clicks...
Read Article
→
#MAY 1, 2026
8mAdaL 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.
Read Article
→
#APR 22, 2026
6mAutoScholar: 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 ...
Read Article
→
#APR 22, 2026
6mThe 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
8mMake 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
10mThe 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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