If you’ve got frolicked utilizing AI coding brokers — GitHub Copilot, Claude Code, Gemini CLI — you’ve got most likely run into this example: you describe what you need, the agent generates a block of code that appears right, compiles, after which subtly misses the precise intent. This “vibe-coding” method can work for fast prototypes…
OpenAI has launched a Codex Chrome extension for Mac and PC to streamline browser-based workflows that had been beforehand troublesome to deal with via APIs or plugins. This launch follows a pattern the place most customers most well-liked working in a browser after the launch of “Computer Use,” permitting Codex to function extra successfully throughout…
In this tutorial, we discover CloakBrowser, a Python-friendly browser automation instrument that makes use of Playwright-style APIs inside a stealth Chromium setting. We start by establishing CloakBrowser, making ready the required browser binary, and resolving the widespread Colab asyncio loop subject by working the sync browser workflow in a separate employee thread. We then transfer…
In this tutorial, we construct a Groq-powered agentic analysis workflow that runs instantly utilizing Groq’s free OpenAI-compatible inference endpoint. We configure LangChain’s ChatOpenAI interface to work with Groq by setting the Groq API key and base URL, permitting us to make use of quick hosted fashions corresponding to llama-3.3-70b-versatile for tool-based reasoning. We then join…
Most agentic functions right this moment have a reminiscence downside. Every time a person opens a brand new session, the agent begins from zero. There isn’t any recollection of what was mentioned, what workflows have been in progress, or what selections have been already made. The session ends, and every thing disappears. For dev groups…
Web search and content material retrieval have quietly turn into essentially the most essential infrastructure choices in AI agent improvement. An agent with out dependable entry to reside net knowledge is successfully working on stale information — a tough limitation for any manufacturing deployment dealing with analysis, lead enrichment, aggressive intelligence, or real-time monitoring. In…
In this tutorial, we construct a multi-agent workflow for organic programs modeling and discover how totally different computational parts work collectively inside one unified programs biology pipeline. We generate artificial organic information, analyze gene regulatory construction, predict protein-protein interactions, optimize metabolic pathway exercise, and simulate a dynamic cell signaling cascade, all inside a Colab surroundings…
Cursor, the AI-powered code editor, is opening up the core know-how behind its coding brokers to builders in every single place. The Cursor staff introduced the general public beta of the Cursor SDK — a TypeScript library that offers engineers programmatic entry to the identical runtime, harness, and fashions that energy Cursor’s desktop app, CLI,…
In this tutorial, we construct a Reinforcement Learning–pushed agent that learns how to retrieve related reminiscences from a long-term reminiscence financial institution. We begin by setting up a artificial reminiscence dataset and producing queries that require the agent to recall particular data. Using OpenAI embeddings, we convert each reminiscences and queries into vector representations, enabling…
As AI brokers transfer from analysis demos to manufacturing deployments, one query has grow to be inconceivable to disregard: how do you really know if an agent is sweet? Perplexity scores and MMLU leaderboard numbers inform you little or no about whether or not a mannequin can navigate an actual web site, resolve a GitHub…