Anthropic is an AI safety company founded in 2021 by former OpenAI researchers, including Dario and Daniela Amodei. It develops the Claude family of AI assistants and focuses on AI interpretability and safety research.
A developer built Trof, an open-source AI task generator for the self-hosted project management tool Vikunja that requires human approval before any tasks are added or modified. The system uses a two-…
A new Claude Code plugin called Claude HUD provides real-time visibility into context usage, active tools, running agents, and task progress directly within the terminal. The plugin installs via Claud…
Anthropic prohibits job candidates from using AI tools during interviews unless explicitly allowed, requiring applicants to complete up to five rounds including a "culture interview" that assesses val…
A new Anthropic study reveals that researchers with typically male names use AI coding agents more than twice as often as those with typically female names, even when controlling for discipline and ca…
A developer created aichain, a lightweight Python library that provides a unified interface for eight large language model providers including OpenAI, Anthropic, and Google Gemini. The library aims to…
Chinese AI labs will continue to open-source their models, contrary to speculation that they are moving toward closed systems, because the commercial strategy remains viable. The approach allows labs …
A new architectural paradigm called the "agentic mesh" proposes embedding AI agents into business processes to enable cognitive automation at scale, borrowing principles from the failed data mesh appr…
BoxAgnts has built a model-agnostic abstraction layer that lets users switch between AI providers—including OpenAI, Anthropic, and Google Gemini—by changing a single parameter. The system normalizes e…
AI coding agents operate as a simple control loop: they build a message bundle, send it to an LLM, execute any requested tool calls, and repeat until the task is done. The LLM never directly executes …
A developer has outlined a method to reduce large language model costs by up to 90% in enterprise RAG pipelines using ephemeral prompt caching with Spring AI and JTokkit. The approach requires isolati…
Anthropic, OpenAI, Cognition, Sierra, LangChain and leading practitioners have jointly developed a canonical standard for building production-grade agentic products, codified in a new open-source repo…
Anthropic defines its "run-rate revenue" by annualizing the last 28 days of consumption-billed sales and adding annualized subscription revenue, a formulation that complicates direct comparisons with …
OpenAI and Anthropic have launched multi-agent autonomous features for enterprise use, enabling AI systems to coordinate and execute complex business workflows without human intervention. Anthropic re…
CompletionKit has launched an open-source tool for testing AI prompts against real inputs, scoring outputs with custom metrics, and identifying regressions before deployment. The platform supports mul…
A developer has created komit, an AI-powered git commit message generator that runs entirely locally using Ollama and open-source LLMs. The tool analyzes staged diffs and branch names to generate conv…
Data Workers, an open-source autonomous agent swarm for data engineering, bet on the Model Context Protocol (MCP) to connect its AI agents to dozens of tools in the modern data stack, rather than buil…
Anthropic defines its "run-rate revenue" by calculating consumption-based sales over the last 28 days, multiplying that figure by 13, then adding the result to its monthly subscription revenue multipl…
A developer built LogBot, a Discord bot that forwards messages to the Anthropic Claude Code CLI and returns responses, enabling an AI assistant that can create its own tools. The bot's framework allow…
Wealthy Asian investors poured $24.3 billion into global AI private funding rounds in 2025, nearly triple the previous year, betting that record US fundraising by OpenAI and SpaceX will boost Asian ch…
Anthropic's SDK streaming method uses Server-Sent Events (SSE) to deliver LLM responses token-by-token over a persistent HTTP connection, rather than waiting for the full JSON blob. Setting `"stream":…