#Agents
6 notas · última:
Engineering for Agents That Never Sleep
The piece argues that engineering work will increasingly start from software-readable signals, so agents like Devin will be triggered automatically by alerts, tests, specs, and latency spikes instead of by a person.
Can We Close the Loop in 2026?
The article argues that useful agents combine self-awareness about their tools and limits with loop-closing verification against external signals, and that this is moving from scaffolding toward default behavior.
8 Predictions for 2026. What comes next in AI?
The page predicts 2026 will bring generative UI, edge-based personal agents, smarter home assistants, AI-labeled content, and biometric verification as AI systems spread into daily life.
A Guide to Which AI to Use in the Agentic Era
The guide says “using AI” now means choosing among models, apps, and harnesses, and that for serious work the app and harness often matter as much as the model.
The two patterns by which agents connect sandboxes
The post describes two ways to connect agents to sandboxes: run the agent inside the sandbox for tighter coupling, or keep the agent outside and use the sandbox as a tool for easier updates and cleaner separation.
tokens are getting more expensive
The post argues that cheaper models do not fix AI margins because demand shifts to the newest frontier model and agents now consume far more tokens, making flat-rate subscriptions unsustainable.
