41 results found
Perplexity's Personal Computer, its local AI agent, is now available to all Mac users via a new desktop app. It securely accesses local files, apps, and the web to automate complex workflows, with full features requiring a Pro or Max subscription.
Context Hub (`chub`) addresses LLM limitations by providing coding agents with curated, versioned documentation and skills via a CLI, augmented by local annotations and maintainer feedback. This article explores `chub`'s workflow and content model, then demonstrates building a companion relevance engine. This engine uses an additive reranking layer with extracted signals to significantly improve search accuracy for shorthand queries without altering `chub`'s core design.
Google is significantly enhancing its Chrome web browser with the introduction of a new AI-powered feature called “Skills.” Announced Tuesday by the tech giant, this update allows users to save and reuse their preferred
Scorpion Coatings introduces Scorpion Scan, a mobile-first platform designed to revolutionize window film installation for small businesses. It automates pattern cutting, streamlines workflows, and provides vital operational insights, freeing entrepreneurs from manual processes. This innovation aims to boost efficiency, address staffing challenges, and empower independent operators with flexible, accessible technology.
As an experienced tech reviewer, I'm always looking for ways to optimize workflows and understand how different technologies truly impact daily use. This past month presented an unexpected opportunity to put cloud
Learn how to connect and use ChatGPT app integrations like DoorDash, Spotify, and Uber in simple steps to automate tasks and enhance your digital workflow.
This article details setting up Ollama with Gemma 4 26B on an Apple Silicon Mac mini for an always-ready local LLM environment. It covers installation, model pulling, and advanced configurations like auto-starting Ollama, preloading the model using `launchd` agents, and keeping models loaded indefinitely with `OLLAMA_KEEP_ALIVE` to leverage fast inference on Apple Silicon. Practical takeaways emphasize the benefits for developer workflows and memory management considerations.
In the lead-up to 2025, the developer community buzzed with anticipation. Promises of sophisticated AI agents, capable of autonomously executing complex tasks and revolutionizing workflows, dominated tech discussions.
The Model Context Protocol (MCP), an open-source standard launched by Anthropic in late 2024, is rapidly gaining traction as the core communication method for AI agents. It provides a flexible framework for agents to interact with external data and users, distinct from traditional APIs that are designed for deterministic developer-driven tasks. With major adoption by OpenAI and Google, MCP is shaping the future of autonomous AI workflows.
Integrating artificial intelligence into your daily workflow can feel daunting, but when done right, it can be a significant time-saver. Google's Gemini in Chrome has received substantial upgrades, transforming your
Google has launched a new Command Line Interface (CLI) for its Workspace suite, unifying access to Gmail, Drive, Calendar, Sheets, and Docs for developers and AI agents. This open-source tool, introduced by Google Cloud director Addy Osmani, streamlines automation and agentic workflows by offering a direct, scriptable interface. It aims to reduce reliance on custom integrations and third-party connectors for enterprise productivity.
DeveloperWeek 2026 highlighted that for AI tools to be truly valuable, they need improved usability, deep contextual understanding, and robust interoperability. Key discussions centered on giving human developers more agency over AI outputs, integrating proprietary company knowledge into models, and designing agentic systems that can collaborate seamlessly across workflows.
AI-assisted coding is advancing beyond simple suggestions to complex agentic systems. To manage inherent risks, robust security and isolation are crucial. Hardened containers, which are minimal and secure, coupled with agent sandboxes, provide the necessary environment for AI agents. This approach treats AI agents with the same rigor as microservices, ensuring predictability and trust in AI-driven workflows.
This handbook demystifies open source for beginners, detailing its core concepts, practical contribution workflow, and community dynamics. It debunks common myths, highlighting how public code creates a verifiable portfolio. The guide covers the development of crucial technical and soft skills, showcasing open source as a direct path to career growth, job opportunities, and invaluable networking.
Fender's initial venture into the consumer audio market introduces a product with notable connectivity advantages but also significant, undeniable drawbacks. Developers evaluating this device must weigh its unique connection capabilities against its reported limitations to determine its fit within their workflow.
Block, Jack Dorsey's company, cut over 4,000 staff (40%) despite strong financial performance, attributing it to new AI efficiencies and a pivot to an "intelligence-native" operational model. This move, driven by a focus on "agentic AI infrastructure," signals a fundamental shift in how tech companies might scale and manage operations. It prompts other enterprises to audit their own workflows for similar AI-driven consolidation.
