# tool Published articles for tool. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Slicker: A Tool for Moving Things in Python DevFeed: [Slicker: A Tool for Moving Things in Python]() Original publisher: [Read original article]() Author: Khan Academy Published: 2018-04-02T22:00:00Z Content type: article Language: en Sources: [Khan Academy]() Topics: [Python](), [Refactoring](), [Tool](), [PyCharm]() Tags: [bug](), [code](), [engineering](), [infrastructure](), [news](), [pycharm](), [python](), [refactoring](), [tool]() ### AI overview This article explains why Khan Academy built Slicker, a tool for moving thousands of Python files, classes, and functions while updating references and imports. It also describes limitations the authors encountered with PyCharm's refactoring tools. ### Source excerpt By Ben Kraft Craig talked last post about our project to reorganize our whole Python codebase. This entails ... Read more ## Automating Highly Similar Translations DevFeed: [Automating Highly Similar Translations]() Original publisher: [Read original article]() Author: Khan Academy Published: 2016-02-15T23:00:00Z Content type: article Language: en Sources: [Khan Academy]() Topics: [ui](), [Template](), [Tool]() Tags: [engineering](), [languages](), [news](), [templates](), [tool](), [translation](), [ui](), [web-frontend]() ### AI overview Khan Academy describes a redesigned translator dashboard and a translation tool with smart translations. The system groups highly similar English strings, reuses existing translations through templates, and updates the UI to show which strings can be translated automatically. ### Source excerpt By Kevin Barabash Khan Academy is available in 12 languages and is in the process of being translated ... Read more ## Who gets to define an AI agent's intent? DevFeed: [Who gets to define an AI agent's intent?]() Original publisher: [Read original article]() Author: WorkOS Published: 2026-09-15T20:25:55Z Content type: article Language: en Sources: [WorkOS Blog]() Topics: [AI Agent](), [Artificial Intelligence]() Tags: [ai](), [ai-agent](), [identity](), [policy](), [scopes](), [tool](), [workflow]() ### AI overview The article explains how to define an AI agent's intent while preserving identity, resource-access controls, and company policy. It argues that the requester should specify the agent's purpose and intended effects, while the organization determines which actions are permitted. Using Airlock examples, it distinguishes task intent from policy decisions such as approval or denial of specific operations. ### Source excerpt An agent's task describes the work to do. Learn how to define useful intent while keeping identity, resource access, and company policy in force. ## AI agent approval workflows: handling edits and retries DevFeed: [AI agent approval workflows: handling edits and retries]() Original publisher: [Read original article]() Author: WorkOS Published: 2026-09-15T15:02:39Z Content type: tutorial Language: en Sources: [WorkOS Blog]() Topics: [AI Agent](), [Authorization](), [Tool]() Tags: [agent](), [authorization](), [execution](), [how-to](), [retry](), [review](), [server](), [tool](), [workflows]() ### AI overview This guide explains how to add human approval to AI agent tool calls with WorkOS Airlock. It covers binding approval to an exact request, persisting the proposed action, resuming execution after approval, and recovering when a provider response is uncertain. ### Source excerpt Add human approval to AI agent tool calls. Learn how to review exact requests, resume execution, and handle edits and retries with Airlock. ## 6 principles for using Grok Bot DevFeed: [6 principles for using Grok Bot]() Original publisher: [Read original article]() Author: Jeff Morhous Published: 2026-09-15T10:46:18Z Content type: tutorial Language: en Sources: [The AI-Augmented Engineer]() Topics: [agent orchestration](), [Tool](), [Bot]() Tags: [agent](), [agent-orchestration](), [tool]() ### AI overview The article presents six principles for using Grok Bot and describes Grok Bot as a general agent orchestration tool. The supplied evidence does not provide the individual principles. ### Source excerpt Grok Bot is a great general agent orchestration tool, if you know how to use it right ## Inside the LLM Call: GenAI Observability with OpenTelemetry DevFeed: [Inside the LLM Call: GenAI Observability with OpenTelemetry]() Original publisher: [Read original article]() Author: OpenTelemetry Authors; Docs CC BY Published: 2026-09-14T16:56:42Z Content type: tutorial Language: en Sources: [Blog on OpenTelemetry]() Topics: [OpenTelemetry](), [agent observability](), [telemetry](), [AI Agent](), [Large Language Model]() Tags: [agent](), [ai-agent](), [claude-code](), [codex](), [observability](), [opentelemetry](), [token](), [tool](), [visibility]() ### AI overview This tutorial explains how OpenTelemetry Semantic Conventions for Generative AI record LLM calls, tool invocations, token counts, and related events. It demonstrates exporting telemetry from an LLM-powered application, viewing it with Aspire Dashboard, and considering sensitive-data implications of optional content capture. ### Source excerpt Your AI agent just took 45 seconds to answer a simple question. Was it the model? A slow tool call? A retry loop? Every time an application calls an LLM, a chain of model calls, tool invocations, and token exchanges happens behind the scenes -- and without observability, you are guessing. The OpenTelemetry Semantic Conventions for Generative AI give you that visibility. They standardize how GenAI operations are recorded -- the model being called, input and output token counts, and when opted in, the full content of prompts, completions, tool calls, and tool results. ## How to make Xfce look like almost any desktop you want DevFeed: [How to make Xfce look like almost any desktop you want]() Original publisher: [Read original article]() Author: Liam Proven Published: 2026-09-13T09:09:00Z Content type: tutorial Language: en Sources: [www.theregister.com - Articles]() Topics: [configuration](), [Code]() Tags: [debian](), [how-to](), [linux](), [open-source](), [software](), [tool](), [ubuntu](), [windows](), [xfce]() ### AI overview A tutorial on using Xfce Panel Profiles to switch among predefined desktop layouts and save custom ones. ### Source excerpt Panel Profiles handles the heavy lifting, once you've installed the plugins it expects ## Quiz: Python Debugging With Pdb DevFeed: [Quiz: Python Debugging With Pdb]() Original publisher: [Read original article]() Author: Real Python Published: 2026-09-12T12:00:00Z Content type: tutorial Language: en Sources: [Real Python]() Topics: [Python](), [debugging](), [debug]() Tags: [bugs](), [course](), [debugger](), [debugging](), [how-to](), [learn](), [python](), [resources](), [tool](), [tutorial]() ### AI overview An interactive 10-question quiz that tests practical knowledge of Python's built-in pdb debugger, including inspecting variables, stepping through code, using conditional breakpoints, watching expressions, and interpreting stack traces. ### Source excerpt Practice using pdb, Python's built-in debugger. Check variables, step through code, set conditional breakpoints, and read a stack trace. ## How to Evaluate Live & Voice Agents in ADK DevFeed: [How to Evaluate Live & Voice Agents in ADK]() Original publisher: [Read original article]() Author: Stephen Allen Published: 2026-09-12T11:04:33.891311Z Content type: tutorial Language: en Sources: [Google Developers Blog]() Topics: [AI Bots](), [CI/CD]() Tags: [agents](), [audio](), [ci-cd](), [cli](), [evaluation](), [gemini](), [how-to](), [json](), [llm](), [production](), [testing](), [tool](), [tools](), [transcripts](), [voice](), [workflows]() ### AI overview The article explains how to evaluate live voice agents in ADK with simulated audio conversations, automated scoring, and recorded results. It covers scenario-based and fixed-conversation test cases, multi-agent workflows, and running evaluations in CI/CD. ### Source excerpt Moving live voice agents from demo to production requires rigorous, automated testing to handle the unpredictability of real multi-turn conversations. ADK now provides native live evaluation, allowing developers to test graph-based agent workflows against LLM-driven simulated users that generate actual audio via Gemini TTS. By defining evaluation scenarios and natural-language rubrics, you can automatically score audio responses and tool executions, inspect the resulting transcripts in ADK Web, or run the CLI directly in your CI/CD pipeline. ## OpenAI arms devs with AI conversation tool that can talk and listen at the same time DevFeed: [OpenAI arms devs with AI conversation tool that can talk and listen at the same time]() Original publisher: [Read original article]() Author: Thomas Claburn Published: 2026-09-10T22:59:00Z Content type: news Language: en Sources: [www.theregister.com - Articles]() Topics: [Machine learning]() Tags: [ai](), [ai-and-ml](), [ai-models](), [api](), [artificial-intelligence](), [audio](), [openai](), [tool](), [voice-ai]() ### AI overview OpenAI's GPT-Live-1 is presented as a conversation tool that lets developers speak with AI models more fluidly. ### Source excerpt GPT-Live-1 makes speaking to AI models more fluid ## ToolGrad: Efficient tool-use dataset generation with textual "gradients" DevFeed: [ToolGrad: Efficient tool-use dataset generation with textual "gradients"]() Original publisher: [Read original article]() Published: 2026-09-10T22:50:22Z Content type: article Language: en Sources: [The latest research from Google]() Topics: [dataset](), [Large Language Model](), [LLM Techniques](), [Machine learning](), [Fine-tuning](), [LLM evaluation / benchmarking]() Tags: [agent](), [cost](), [datasets](), [evaluation](), [fine-tuning](), [generation](), [llm](), [machine-intelligence](), [machine-learning](), [natural-language-processing](), [prompt-engineering](), [tool]() ### AI overview ToolGrad generates tool-use chains before deriving corresponding user queries, aiming to create complex training data for LLM tool use more efficiently and at lower cost than exploration-based approaches. ### Source excerpt Machine Intelligence ## FastAPI frontends and static files served from the CDN DevFeed: [FastAPI frontends and static files served from the CDN]() Original publisher: [Read original article]() Author: Daniel Park Published: 2026-09-10T17:00:00Z Content type: release Language: en Sources: [Vercel News]() Topics: [FastAPI](), [Vercel](), [Front end](), [mount]() Tags: [cdn](), [frontend](), [mount](), [tool](), [vercel]() ### AI overview Vercel now promotes FastAPI frontends and static files served through app.frontend() or StaticFiles to the Vercel CDN at build time, allowing matching requests to bypass Vercel Functions. Route precedence is preserved, while dependency-protected frontends and middleware-protected static files remain on the function unless configured otherwise. ### Source excerpt FastAPI frontends and static files, served with app.frontend() or StaticFiles, are now promoted to the Vercel CDN at build time. Requests for those paths are served directly from the CDN, without invoking your Vercel Function. FastAPI evaluates routes in declaration order. A route declared before a StaticFiles mount takes priority over any CDN file at that path. This precedence is preserved. Promoted source directories remain in the function bundle so the app can read from them at runtime. To exclude them and serve only from the CDN, set tool.vercel.fastapi.static.exclude = true in pyproject.toml. Frontends guarded by dependencies are kept on the function as the CDN cannot run dependency checks. Similarly, static files which sit behind middleware are also kept on the function. To override this and always promote to CDN, set tool.vercel.fastapi.static.cdn = true. To opt out of the CDN entirely, set it to false instead. For more information see the Vercel FastAPI documentation. Read more ## KDE Plasma 6.8 Beta Released With Many Great Improvements, Kup Backup Scheduler DevFeed: [KDE Plasma 6.8 Beta Released With Many Great Improvements, Kup Backup Scheduler]() Original publisher: [Read original article]() Author: Michael Larabel Published: 2026-09-10T16:39:24Z Content type: release Language: en Sources: [Phoronix]() Topics: [Wayland](), [Multi-GPU](), [GPU](), [monitor]() Tags: [backup](), [desktop](), [desktop-linux](), [gpu](), [linux-benchmarking](), [linux-hardware-benchmarks](), [linux-hardware-reviews](), [linux-how-to](), [linux-performance](), [linux-server-benchmarks](), [monitor](), [multi-gpu](), [open-source-graphics](), [phoronix](), [phoronix-test-suite](), [release](), [remote](), [server](), [tool](), [ubuntu-benchmarks](), [ubuntu-hardware]() ### AI overview KDE Plasma 6.8 Beta introduces improvements to Wayland support, vRAM usage, remote desktops, multi-GPU and multi-monitor handling, theming, and other desktop functionality. It also includes Kup as the Plasma desktop backup scheduler. ### Source excerpt Ahead of the stable release of Plasma 6.8 due out on 14 October that also marks the 30th anniversary of the KDE project, out today is the much anticipated beta release... ## The Machine With Many Faces: Post-Exploitation Identity Misuse in SPIFFE/SPIRE DevFeed: [The Machine With Many Faces: Post-Exploitation Identity Misuse in SPIFFE/SPIRE]() Original publisher: [Read original article]() Author: Eviatar Garzi Published: 2026-09-10T10:00:43Z Content type: article Language: en Sources: [Unit 42]() Topics: [Kubernetes]() Tags: [api](), [containers](), [cryptographic](), [identity](), [json](), [kubernetes](), [linux](), [malware](), [node](), [open-source](), [research](), [secrets](), [spiffe](), [spire](), [spoof](), [spoofing](), [threat-research](), [tool]() ### AI overview Research on a post-exploitation technique in which root access to a Kubernetes node can let an attacker spoof cgroup metadata used by SPIRE workload attestation, impersonate co-located workloads, and obtain SVIDs. ### Source excerpt Learn how root access on a compromised K8s node allows attackers to utilize SPIFFE/SPIRE metadata to spoof and harvest co-located workload identities. The post The Machine With Many Faces: Post-Exploitation Identity Misuse in SPIFFE/SPIRE appeared first on Unit 42. ## Introducing the Agents API DevFeed: [Introducing the Agents API]() Original publisher: [Read original article]() Published: 2026-09-10T00:00:00Z Content type: release Language: en Sources: [OpenAI News]() Topics: [AI Bots]() Tags: [agents](), [api](), [cloud](), [codex](), [developers](), [infrastructure](), [launch](), [orchestration](), [product](), [sandbox](), [tool]() ### AI overview OpenAI introduces the Agents API in public beta, providing a managed harness and infrastructure for building production-ready, long-running agents with tools and configurable compute environments. ### Source excerpt Build and launch cloud agents with the Agents API, a managed service powered by the Codex harness for orchestration, long-running sessions, and tool use. ## Build more natural voice experiences with GPT-Live-1 in the API DevFeed: [Build more natural voice experiences with GPT-Live-1 in the API]() Original publisher: [Read original article]() Published: 2026-09-10T00:00:00Z Content type: release Language: en Sources: [OpenAI News]() Topics: [voice ai](), [Large Language Model](), [Latency](), [asr]() Tags: [agents](), [api](), [audio](), [gpt](), [latency](), [llm](), [product](), [reasoning](), [release](), [text-to-speech](), [tool](), [voice]() ### AI overview GPT-Live-1 is launching in the API for full-duplex voice applications. The release emphasizes interruption handling, customizable conversational behavior, delegated reasoning and tool calls, long-session reliability, and telephony support. ### Source excerpt GPT-Live-1 brings natural, full-duplex voice conversations to the API, with stronger instruction following, custom voices, and telephony support. ## Build with OpenAI Agents API on Vercel DevFeed: [Build with OpenAI Agents API on Vercel]() Original publisher: [Read original article]() Author: Allen Zhou Published: 2026-09-10T00:00:00Z Content type: release Language: en Sources: [Vercel News]() Topics: [AI Bots]() Tags: [agent](), [agents](), [api](), [architecture](), [code](), [guide](), [integration](), [openai](), [sandbox](), [scale](), [tool](), [vercel]() ### AI overview Vercel now supports building and deploying long-running, tool-using agents with the OpenAI Agents API. OpenAI manages agent loops and session state, while Vercel provides hosted applications, Sandbox execution, persistent workspaces, webhook and queue integration, and scale-to-zero operation. ### Source excerpt You can now build and deploy long-running, tool-using agents with the OpenAI Agents API on Vercel. OpenAI manages the agent loop and session state, while Vercel hosts the application and connects each session to Vercel Sandbox for code execution and file access. With this integration, you get: An OpenAI-managed agent loop and session state Reliable Sandbox creation and reconnection through signed OpenAI webhooks and Vercel Queues An isolated execution environment for every agent session A persistent workspace that retains files across follow-up instructions A scale-to-zero architecture without an always-on worker Follow the step-by-step guide to build and deploy an agent, or explore the sample application. Read more ## Run contained pen testing as chaos experiments securely DevFeed: [Run contained pen testing as chaos experiments securely]() Original publisher: [Read original article]() Author: Uma Mukkara Published: 2026-09-09T22:42:00Z Content type: article Language: en Sources: [Harness Blog]() Topics: [Resilience](), [Security](), [Testing]() Tags: [chaos](), [permission](), [pipeline](), [production](), [resilience](), [security](), [testing](), [tool]() ### AI overview The article describes contained pen-testing experiments that run inside a release pipeline. Each experiment targets one service, one failure or intrusion condition, and one pipeline stage, producing an immutable audit record while avoiding broad production access. ### Source excerpt | Blog ## Deploying Qwen3.8-2.4T-A95B on Amazon SageMaker HyperPod with vLLM DevFeed: [Deploying Qwen3.8-2.4T-A95B on Amazon SageMaker HyperPod with vLLM]() Original publisher: [Read original article]() Author: Dmitry Soldatkin Published: 2026-09-09T22:26:29Z Content type: tutorial Language: en Sources: [Artificial Intelligence]() Topics: [Deployment](), [Inference](), [Machine learning](), [Language models](), [GPU](), [long-context](), [Mixture of Experts (MoE)]() Tags: [advanced-300](), [agentic](), [amazon-sagemaker](), [amazon-sagemaker-hyperpod](), [deployment](), [gpu](), [how-to](), [inference](), [long-context](), [moe](), [nvfp4](), [quantization](), [qwen](), [reasoning](), [technical-how-to](), [tool](), [vllm]() ### AI overview A deployment walkthrough for serving the open-weight Qwen3.8-2.4T-A95B language model on Amazon SageMaker HyperPod with vLLM and NVIDIA B300 GPUs. It covers provisioning, NVFP4 quantization, an OpenAI-compatible endpoint, reasoning, tool calling, and MTP speculative decoding. ### Source excerpt Learn how to deploy Qwen3.8-2.4T-A95B, a 2.4-trillion-parameter open-weight model, on Amazon SageMaker HyperPod with vLLM. This walkthrough covers cluster provisioning, NVFP4 quantization, and an OpenAI-compatible endpoint with built-in reasoning, tool calling, and native MTP speculative decoding. ## DeepSeek V4.1 Flash now available on AI Gateway DevFeed: [DeepSeek V4.1 Flash now available on AI Gateway]() Original publisher: [Read original article]() Author: Jerilyn Zheng Published: 2026-09-09T00:00:00Z Content type: release Language: en Sources: [Vercel News]() Topics: [deepseek](), [Artificial Intelligence](), [API](), [Language models](), [AI-assisted coding](), [Claude Code](), [codex](), [cursor]() Tags: [ai](), [ai-gateway](), [api](), [caching](), [codex](), [context-window](), [cursor](), [deepseek](), [responses](), [tool](), [vercel](), [vision]() ### AI overview DeepSeek V4.1 Flash is now available through Vercel's AI Gateway, offering native image understanding, a 1 million token context window, responses up to 384,000 tokens, reasoning, tool use, and prompt caching. Developers can use it in Claude Code, Codex, Cursor, and other coding agents with the model name deepseek/deepseek-v4.1-flash. ### Source excerpt DeepSeek V4.1 Flash is now available on AI Gateway with native image understanding. V4.1 Flash has vision support and accepts text and images in the same request, so you can ask questions about screenshots, read charts, and extract information from visual content. The model has a 1 million token context window and supports responses up to 384,000 tokens, along with reasoning, tool use, and prompt caching. Its new architecture processes input and generates output with separate components, reducing the active computation needed for each stage. Use deepseek/deepseek-v4.1-flash as the model name: To use it in Claude Code, Codex, Cursor, and more, install the latest Vercel CLI and run setup: Then select deepseek/deepseek-v4.1-flash in the agent. See the coding agents guide for details. Try DeepSeek V4.1 Flash in the model playground. AI Gateway provides a unified API for calling models, tracking usage and cost, and configuring retries, failover, and performance optimizations for higher-than-provider uptime. It includes built-in custom reporting, Zero Data Retention support, budgets for API keys, routing rules, and more. AI Gateway reflects provider pricing with no markup and does not charge a platform fee on inference, including on Bring Your Own Key (BYOK) requests. You can view all language models available on AI Gateway. Read more ## Loop engineering: stop prompting, start looping DevFeed: [Loop engineering: stop prompting, start looping]() Original publisher: [Read original article]() Author: Anthony Viard Published: 2026-09-08T16:00:00Z Content type: article Language: en Sources: [Postman Blog]() Topics: [Loop Engineering](), [AI Agent](), [AI-assisted coding](), [API]() Tags: [2026](), [agent](), [agentic](), [agents](), [ai](), [ai-agents](), [ai-coding](), [api](), [api-testing](), [blog](), [code](), [coding-agents](), [developer](), [engineering](), [general](), [guide](), [idea](), [loops](), [model](), [post](), [postman-cli](), [tool](), [verify](), [work]() ### AI overview This article explains loop engineering as a way to improve AI coding agent reliability. Instead of relying on a single prompt, the system repeatedly generates code, runs it against a real API or other source of truth, verifies the result, and decides whether to stop or continue. The article distinguishes this outer verification loop from the inner ReAct tool-use cycle and presents a reproducible setup for allowing an agent to correct its own mistakes. ### Source excerpt Stop prompting your AI agent, start looping. A guide to loop engineering: wire a real API call in as the oracle so generated code stops guessing. The post Loop engineering: stop prompting, start looping appeared first on Postman Blog. ## 7 Rules for Designing Tool Definitions That AI Agents Can Reliably Use DevFeed: [7 Rules for Designing Tool Definitions That AI Agents Can Reliably Use]() Original publisher: [Read original article]() Author: The T-Shaped Dev Published: 2026-09-08T12:19:46Z Content type: tutorial Language: en Sources: [The T-Shaped Dev]() Topics: [Code](), [Tool](), [API](), [Vibe coding]() Tags: [agent](), [code](), [coding](), [coding-agents](), [developer](), [tool](), [tools]() ### AI overview A tutorial on designing tool definitions for AI agents. It explains that models rely on a tool's name, description, and schema, so ambiguous contracts can cause incorrect behavior. The article recommends focused tools, descriptions that guide selection and state when not to use a tool, and structured decisions followed by deterministic code. ### Source excerpt 7 rules for tool definitions a model can't misread, starting with the sentence that fixes the most bugs. (8 min) ## Leaving VMware Just Got Harder After Broadcom Pulled VDDK Downloads DevFeed: [Leaving VMware Just Got Harder After Broadcom Pulled VDDK Downloads]() Original publisher: [Read original article]() Author: Brandon Lee Published: 2026-09-07T12:07:37Z Content type: news Language: en Sources: [Virtualization Howto]() Topics: [virtualization](), [migration](), [Azure](), [SDKs](), [Microsoft]() Tags: [azure](), [developer](), [home-lab](), [home-server](), [microsoft](), [migration](), [proxmox](), [tool](), [virtualization](), [vmware]() ### AI overview Broadcom has removed public download access to VMware's Virtual Disk Development Kit (VDDK), creating a potential obstacle for customers migrating away from VMware. The library is used by migration tools including Microsoft Azure Migrate, Red Hat's Migration Toolkit, Nutanix Move, VMware-to-KVM products, virt-v2v, and nbdkit. The article notes that affected links return errors and that no formal transition notice, deprecation announcement, or replacement has been identified. ### Source excerpt Just when we thought that Broadcom wouldn't be able to slow down customers moving off of vSphere to another platform. They may just now have done something that will have... The post Leaving VMware Just Got Harder After Broadcom Pulled VDDK Downloads appeared first on Virtualization Howto. ## Quiz: Build Your Own Face Recognition Tool With Python DevFeed: [Quiz: Build Your Own Face Recognition Tool With Python]() Original publisher: [Read original article]() Author: Real Python Published: 2026-09-05T12:00:00Z Content type: tutorial Language: en Sources: [Real Python]() Topics: [Python]() Tags: [command-line](), [face-recognition](), [how-to](), [python](), [recognition](), [tool](), [tutorial](), [validation]() ### AI overview An interactive 10-question quiz that tests understanding of a Python face recognition tool, including face detection versus recognition, face encodings, voting-based matching, model validation, bounding box coordinates, and argparse command-line options. ### Source excerpt Check your understanding of face detection, face recognition, face encodings, bounding boxes, and model validation in Python. [Next page]()