Beyond CMDB Sync: Cisco Catalyst Center for ITSM Workflows - Cisco BlogsBeyond CMDB Sync: Cisco Catalyst Center for ITSM Workflows Cisco Blogs
Gurobi Launches Intelligence Hub to Deliver AI-Guided Workflows Across the Optimization Lifecycle - HPCwireGurobi Launches Intelligence Hub to Deliver AI-Guided Workflows Across the Optimization Lifecycle HPCwire
Onspring 2026 GRC Benchmarking Report Reveals That Only 13.5% of GRC Teams Have Fully Integrated AI Into Core Workflows - PR NewswireOnspring 2026 GRC Benchmarking Report Reveals That Only 13.5% of GRC Teams Have Fully Integrated AI Into Core Workflows PR Newswire
'GitLost' Flaw Leaks Private Data From GitHub's Agentic WorkflowsA critical prompt injection flaw in GitHub Agentic Workflows allows attackers to trick AI-powered automation into leaking data from an organization's private code repositories, all without ...
Gurobi Launches Intelligence Hub to Deliver AI-Guided Workflows Across the Optimization Lifecycle - Business WireGurobi Launches Intelligence Hub to Deliver AI-Guided Workflows Across the Optimization Lifecycle Business Wire
‘GitLost’ vulnerability let GitHub’s AI workflows leak private repositoriesResearchers at artificial intelligence security company Noma Security Inc. today disclosed a critical prompt injection vulnerability in GitHub Inc.’s new Agentic Workflows feature that allowed an ...
Show HN: Ultracodex – Run Claude Ultracode Dynamic Workflows with Codex AgentsClaude Fable has been incredible, however the plan usage runs out too fast, especially if you use ultracode mode (Claude Code's workflow feature, where the model writes small JavaScript programs that orchestrate subagents) and let the agents go brrr.I want Fable to focus on high-value tasks such as planning or verification, and not burn tokens on mundane implementation work. So I built ultracodex, an engine that spawns codex agents to complete the same ultracode workflows and hand off seamlessly to and from Claude. It runs the same workflow scripts that Claude writes. I designed this tool for anyone owning both Claude and Codex subscriptions or anyone who enjoys Fable and wants to make the quota last.This tool is in early days but I am very excited about the potential. I think it’s also a great “loop engineering” starter pack for us because 1) Claude is great at writing loops and 2) ultracodex runs the loops with Codex agents - given their generous limits, you don’t have to worry about
Show HN: TypeWhisper 1.5 – open-source dictation and workflows for macOSHi HN,I built TypeWhisper, an open-source dictation and AI text-processing app for macOS.The basic idea is: press a hotkey, speak, get text inserted into the current app. Under the hood it is not tied to one transcription backend. You can use local models, cloud APIs, or a mix of both, and then run the result through Workflows that match by app, website, hotkey, or fallback context.I just released TypeWhisper 1.5.0. This release is less about one big flashy feature and more about making dictation behave correctly in real Mac apps.The main changes:- app-aware insertion: better spacing, sentence position handling, terminal paste behavior, rich-text targets, and target-app context - stronger local-model controls: MLX memory-footprint settings, idle auto-unload, lazy restore after unload, and Gemma 4 download recovery - broader provider/plugin coverage: updates across Gemini speech transcription, OpenRouter STT, Mistral AI, Soniox, OpenAI-compatible profiles, cloud ASR providers, and other
GitHub Actions Updates Checkout to Block Forked Pull Request Supply Chain Attacks in CI/CD Workflows - RescanaGitHub Actions Updates Checkout to Block Forked Pull Request Supply Chain Attacks in CI/CD Workflows Rescana
How we built saga rollbacks for Cloudflare Workflows - Cloudflare BlogHow we built saga rollbacks for Cloudflare Workflows Cloudflare Blog
Microsoft Copilot Pages Will Change Your Entire Research WorkflowMicrosoft Copilot offers a range of features designed to simplify complex workflows and improve productivity, but many users only scratch the surface of its capabilities. David Fortin highlights how ...
Show HN: Videopython – local-first video processing, editing and AI workflowsI've been building videopython, a Python library for programmatic video editing, processing and AI workflows. Repo: https://github.com/BartWojtowicz/videopythonThe core idea is that edit is just a JSON / Pydantic plan. This plan can be validated against metadata of source video(s) via a dry run, then edit plan can be executed via streaming pipeline (many thanks to ffmpeg!) without holding frames in memory.Thanks to the JSON/Pydantic format of edit schema, you can easily expose it as tool for LLMs and let your agent-of-choice be your personal editor (MCP support included). The usual flow is first analysing videos via a number of ML models to get both visual and audio understanding of all videos. Next, based on the understanding, you build the edit plan, validate it and render the final video. There's a simple refine loop catching errors and fixing the simple mechanical ones, which allows model to converge on executable schema.Currently, the whole ML/AI stack is deliberately local, mostl
Show HN: Aharness – Enforce coding-agent workflows as state machines on CodexAgents are capable enough for long, autonomous, multi-step work now, if they have the right guardrails.. The failure mode is now process drift and context management. Prompts and skills can describe a process, but they can't enforce it.Aharness turns the process into a runtime. You (your agent) write the workflow as a finite state machine in TypeScript: states define what Codex may do next, typed submissions prove what happened, and transitions only occur through validated exits. If a state doesn't expose an exit, the model can't take it.The bet is that useful workflows are reusable software, not prompts copied around. FSMs are meant to be maintained, shared, and built upon. Install your favorite workflow as an npm package and build on top of it.Aharness plugs into the Codex setup you already use: your AGENTS.md, skills, MCP servers, and permissions. The missing step between a skill and a custom agent harness. Early experiment, Apache-2.0. Feedback welcome, especially on the authoring
GitHub Actions Checkout Update Blocks Workflows Triggered by Malicious pull_request_target - CyberSecurityNewsGitHub Actions Checkout Update Blocks Workflows Triggered by Malicious pull_request_target CyberSecurityNews
Control who and what triggers GitHub Actions workflows - The GitHub BlogControl who and what triggers GitHub Actions workflows The GitHub Blog
AI Platform Race Move Into Workflows Where Billions Are At StakeDespite massive AI investment, a significant "integration gap" persists, forcing users to manually interact with chatbots outside their workflows. The next strategic battleground is embedding AI ...
This New Multicam SDI to ProRes Recorder Is Now Available for Your On-Set Editing Workflows - No Film SchoolThis New Multicam SDI to ProRes Recorder Is Now Available for Your On-Set Editing Workflows No Film School
Adobe Firefly Graph for Enterprise Creative Workflows - Adobe for BusinessAdobe Firefly Graph for Enterprise Creative Workflows Adobe for Business
Yardi delivers AI agents for every multifamily role and workflow - PR NewswireYardi delivers AI agents for every multifamily role and workflow PR Newswire
Ask HN: What is your (AI) dev tech stack / workflow?Hello, happy Friday!I am looking to do some in-person "developer boot-up" workshops, and seek your suggestions for "modern tooling".The background of the participants range from motivated newbie ("I heard you can make your own app with AI!") to existing software developers who want to get up to speed on modern development for the purposes of building stuff, and getting jobs where AI tools are being used.For those who have been doing software development & "tech" lately using AI tools, and feel they have a great setup & flow - I would love to hear what your dev setup is, what tools you're using and what workflow has been working best for you (and your team).// My BackgroundI have been programming / building for 20+ years, but have not been using AI tools much (aside from hitting up LLM APIs on a few projects).I value open-source, and aim for long-term quality and supportability. Techniques like test-driven development (TDD), using proven / well documented tools, customer-centric develop