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Moonshot AI released Kimi K2.5, their latest open-weight multimodal LLM. K2.5 excels at coding tasks, with benchmark scores comparable to frontier models such as GPT-5 and Gemini. It also features an agent swarm mode, which can direct up to 100 sub-agents for attacking problems with parallel workflow.
Leapwork recently released new research showing that while confidence in AI-driven software testing is growing rapidly, accuracy, stability, and ongoing manual effort remain decisive factors in how far teams are willing to trust automation.
OpenAI has recently published a detailed architecture description of the Codex App Server, a bidirectional protocol that decouples the Codex coding agent's core logic from its various client surfaces. The App Server now powers every Codex experience, including the CLI, the VS Code extension, and the web app, through a single, stable API.
Capgemini's Steve Jones argues AI agents building apps in hours have killed the Agile Manifesto, as its human-centric principles don't fit agentic SDLCs. While Forrester reports 95% still find Agile relevant, Kent Beck proposes "augmented coding" and AWS suggests "Intent Design" over sprint planning. The debate: Is Agile dead, or evolving for AI collaboration?
Kubernetes often reacts too late when traffic suddenly increases at the edge. A proactive scaling approach that considers response time, spare CPU capacity, and container startup delays can add or remove instances more smoothly, prevent sudden spikes, and keep performance stable on systems with limited resources.
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Created by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.
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Moonshot AI Releases Open-Weight Kimi K2.5 Model with Vision and Agent Swarm Capabilities
Moonshot AI released Kimi K2.5, their latest open-weight multimodal LLM. K2.5 excels at coding tasks, with benchmark scores comparable to frontier models such as GPT-5 and Gemini. It also features an agent swarm mode, which can direct up to 100 sub-agents for attacking problems with parallel workflow.
By Anthony AlfordLeapwork Research Shows Why AI in Testing Still Depends on Reliability, Not Just Innovation
Leapwork recently released new research showing that while confidence in AI-driven software testing is growing rapidly, accuracy, stability, and ongoing manual effort remain decisive factors in how far teams are willing to trust automation.
By Craig RisiOpenAI Publishes Codex App Server Architecture for Unifying AI Agent Surfaces
OpenAI has recently published a detailed architecture description of the Codex App Server, a bidirectional protocol that decouples the Codex coding agent's core logic from its various client surfaces. The App Server now powers every Codex experience, including the CLI, the VS Code extension, and the web app, through a single, stable API.
By Eran StillerDoes AI Make the Agile Manifesto Obsolete?
Capgemini's Steve Jones argues AI agents building apps in hours have killed the Agile Manifesto, as its human-centric principles don't fit agentic SDLCs. While Forrester reports 95% still find Agile relevant, Kent Beck proposes "augmented coding" and AWS suggests "Intent Design" over sprint planning. The debate: Is Agile dead, or evolving for AI collaboration?
By Steef-Jan WiggersArticle: Proactive Autoscaling for Edge Applications in Kubernetes
Kubernetes often reacts too late when traffic suddenly increases at the edge. A proactive scaling approach that considers response time, spare CPU capacity, and container startup delays can add or remove instances more smoothly, prevent sudden spikes, and keep performance stable on systems with limited resources.
By Rajeev Kallayil Ravi