Developers don't get paid just for coding! If your only skill is writing code, an agent can do that for $20 a month. And it will only get cheaper from here. Who gets paid now is the developer who knows what to build, what to skip, and what to fix when an agent silently gets
CODE
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New Research Survey: Code as a Fundamental Medium for AI Agents
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code as agent harness. a 102-page survey from Stanford, Meta, and UIUC on agent harnesses. the paper argues that code is no longer just the thing agents produce. it’s the medium through which they reason, act, and represent their environment. it calls this “code as agent
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Detection and grounding of objects in images
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Detection: finds "a car."
— Satya Mallick (@LearnOpenCV) 20 mai 2026
Grounding: finds the red car in the crowd of cars.
Detection = fixed classes + bounding box (YOLO, RF-DETR).
Grounding = free-form language → localization.
The word "grounding" comes from cognitive scientist Stevan Harnad (1990) — mapping abstract… pic.twitter.com/bzzXJPFmXiDetection: finds "a car."
Grounding: finds the red car in the crowd of cars.
Detection = fixed classes + bounding box (YOLO, RF-DETR).
Grounding = free-form language → localization.
The word "grounding" comes from cognitive scientist Stevan Harnad (1990) — mapping abstract -
Observations on constraining AI agent behavior and goal completion
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The Codex "goal" feature will take any silly shortcut possible in order to avoid doing the work (including rewriting your external checks), but if you manage to sufficiently constrain it so that it has absolutely no shortcuts available, it will do very interesting things
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30 Agents Every AI Engineer Must Build – production-ready agents
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30 Agents Every AI Engineer Must Build — Build production-ready agent systems using proven architectures and patterns: http://
amzn.to/41ckg6z v/ @PacktDataML —
What you will learn:
Deploy production-ready agent systems that scale securely and reliably
Use LangChain and -
New release: Everyone Is a Programmer – guide to building apps with AI coding
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New release! Everyone Is a Programmer — A battle-tested guide to building real apps with AI coding: https://
amzn.to/4cOEPNa via @PacktPublishing -
Building Complex Multi-Agent Systems for App Development and Automation
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🚨 Agent Swarms – Multi-Agents Delegate Complex Prompts To Sub-Agents
— Abacus.AI (@abacusai) 20 mai 2026
Use Gemini 3.5 Flash, Opus 4.7 and GPT 5.5 xHIgh to create complex multi-agent system
A master agent can orchestrate several worker agents to just do things
Build full-stack apps, mobile apps and automate… pic.twitter.com/5IDAvesIgwAgent Swarms – Multi-Agents Delegate Complex Prompts To Sub-Agents Use Gemini 3.5 Flash, Opus 4.7 and GPT 5.5 xHIgh to create complex multi-agent system A master agent can orchestrate several worker agents to just do things Build full-stack apps, mobile apps and automate
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AI security splits as OpenClaw finds 23 vulns via live runtime testing
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Meanwhile, 360 just found 23 vulns in OpenClaw by testing live runtime decisions. Is AI security splitting into 2 industries? Static code review is great. BUT auditing autonomous agents that read web data and trigger live actions is a TOTALLY different level of difficulty.
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Google launches Gemini 3.5 Flash, a step toward digital employees
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Google acaba de lanzar Gemini 3.5 Flash.
— Nico (@nicos_ai) 19 mai 2026
Y estamos mucho más cerca de los primeros empleados digitales reales.
→ planifica tareas complejas durante horas
→ divide el trabajo entre subagentes
→ trabaja sobre codebases enormes
→ usa herramientas y ejecuta acciones
→… https://t.co/L2qsKVSqDS pic.twitter.com/wBsqThLNTsGoogle has just launched Gemini 3.5 Flash. And we're much closer to the first truly real digital employees. → plans complex tasks for hours → divides work among subagents → works on massive codebases → uses tools and executes actions → maintains massive context
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Using Forking and Diffing for Self-Improving AI Agents
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if this works, will be great for self-improving agents because of the ability to fork and diff agent runs