agentic workflows

Google’s Gemini 3.5 Flash announcement describes a frontier model aimed at agents and coding, with notes on speed, multimodal generation, and availability through the Gemini app, Google Antigravity, Gemini API, AI Studio, Android Studio, and Gemini Enterprise.

Clusy is an agent-native notebook platform for ML and data science that lets users describe a goal in plain language and have the system source data, set up experiments, run notebook cells, and return editable results in the cloud.

Buildy lets AI agents create and update hosted apps with real URLs and persistent data. The page shows starter apps, agent access, API docs, and support for connecting through ChatGPT, Claude, and MCP.

Flue is an open-source Python tool that lets coding agents control desktop software from the command line without MCP servers. The README says it works with apps like Photoshop, Blender, Unity, Houdini, and Microsoft Office, and supports harnesses such as Claude Code, Codex, Gemini CLI, Cursor, and OpenCode.

An experimental programming language and compiler built for agent workflows, with CLI commands for parsing, checking, graphing, repair planning, and JSON-based inspection output.

GitHub Blog article on reducing token usage and API cost in agentic coding workflows, including logging token usage, removing unused MCP tools, replacing GitHub MCP with GitHub CLI, and measuring efficiency gains.

A Noma Security research post detailing a prompt-injection flaw in GitHub Agentic Workflows, with attack flow, proof-of-concept evidence, and security recommendations.

A vLLM blog post explaining Semantic Router as an open serving-layer runtime for bounded micro-agents, with routing patterns like Confidence, Ratings, ReMoM, Fusion, and Workflows behind a single model API.

Clusy is an agent-native notebook platform for ML and data science work in the cloud. The page says it can source data, inspect it, choose architecture and compute, and run end-to-end workflows, with a demo showing a finetuning task and follow-up work queued while the notebook runs.

An article about using GitHub Agentic Workflows to scale documentation QA with a tiered AI setup, combining deterministic checks with LLM-assisted reviews, centralized workflows, and MCP-backed knowledge.