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TypeScript 7.0 RC is a big move towards a Go-based native compiler. What is more important than building 10 times faster is designing parallelism with tsc 6.0, program API gaps, and CI verification boundaries first.
A practical guide to choosing agent frameworks for 2026, such as OpenAI Agents SDK, Microsoft Agent Framework, Google ADK, and LangGraph, not by feature list but by execution boundaries, state management, authorization loops, and operational responsibilities.
Based on Agentic Resource Discovery (ARD) released by Google, Microsoft, GitHub, Snowflake, etc., we explain from a practical perspective how AI agents should find and verify tools, MCP servers, and other agents.
AI Times explains OpenAI·Molecule.one's autonomous AI chemist project from the perspective of developers and AI adopters. Through a case where GPT-5.4 was connected to Maria Lab and performed 10,080 experiments, we summarized how to divide the boundaries between model, laboratory, and human verification in a research automation system.
We explain Google DeepMind's AI Control Roadmap from the perspective of in-house agent security. Instead of relying solely on sorting, we have organized practical standards on how to design insider threat models, monitoring, blocking, and log indicators.
OpenAI's deployment simulation is explained through the AI service team's pre-launch safety evaluation loop. We've compiled real-world conversation replays, risk labels, tool simulations, and even post-launch validation criteria.
We explain the Browser Run, Codemode, sub-agent delegation, and recovery improvements in Cloudflare Agents SDK v0.16.1 from a developer's perspective. Before opening up browser automation and code execution, we've put together a practical checklist of how to split permissions, authorizations, sessions, and resume logs.
As OpenAI announces the end of its Agent Builder and Evals products, the focus of agent automation is shifting from screen-based builders to code-based SDKs and workspace operating models. This article organizes the execution flow and checklist by which existing Agent Builder users and team automation personnel should migrate.
The launch of Google SecOps Seoul region is an event that lowered the data location barrier in the introduction of AI security control by domestic companies. It's not just product news; it's a practical guide to how to design security log residency, Gemini investigation automation, and SOAR-approved perimeters.