Google simply launched Gemini 3.5 Flash at Google I/O May, 2026. It is the primary Gemini 3.5 mannequin. The collection combines frontier intelligence with motion. Google calls it a serious leap for clever brokers. The Flash tier has traditionally been sooner and cheaper. 3.5 Flash outperforms Gemini 3.1 Pro on difficult benchmarks. The earlier premium…
The quick reply most comparability articles skip: these three instruments usually are not competing for the identical job. Before selecting one, it helps to grasp what every is definitely designed to do, the place they genuinely overlap, and the place the true tradeoffs land when you find yourself transport code with an AI assistant at…
Google used its I/O 2026 developer keynote to ship a significant architectural shift in the way it packages AI-assisted growth. The firm introduced Google Antigravity 2.0 — a standalone desktop utility constructed solely round agent orchestration alongside an Antigravity CLI, an Antigravity SDK, Managed Agents within the Gemini API, and enterprise help by means of…
Here’s a query for you: what if the mannequin you have been evaluating has been evaluating you proper again? What this implies for analysis design Just a few concrete modifications comply with straight from this consequence: Observer-blind analysis framing: System prompts and analysis harnesses ought to omit any language signaling that the mannequin is being…
In 2026, enterprise agentic AI has moved from pilot budgets to manufacturing commitments. Salesforce is closing Agentforce deals at 29,000 since launch with $800M ARR. Microsoft Copilot Studio has 160,000 organizations running 400,000+ custom agents. ServiceNow has restructured its entire commercial model around autonomous AI tiers. The query is now not whether or not to…
In this tutorial, we construct an superior agentic AI system utilizing the OpenAI API and a hidden terminal immediate for the API key. We design the agent as a small pipeline of specialised roles: planner, tool-using executor, and critic, in order that we are able to separate technique, motion, and high quality management. We additionally…
Most programming languages have been designed for people who learn error messages, interpret warnings, and manually hint by stack output to repair bugs. AI brokers do none of these issues nicely. They work higher with structured knowledge: predictable tokens, steady codes, and machine-parseable restore hints. That hole is what Vercel Labs is making an attempt…
Running AI brokers in a neighborhood script is easy. Running them reliably in manufacturing throughout groups, throughout restarts, with remoted environments per context is a distinct downside fully. BerriAI, the corporate behind the LiteLLM AI Gateway, is now open-sourcing a purpose-built reply to that downside: the LiteLLM Agent Platform. The platform is described as a…
In this tutorial, we discover how to use Repowise to construct repository-level intelligence for the itsdangerous Python mission in a sensible and reproducible method. We begin with an already cloned repository, configure Repowise utilizing the obtainable LLM credentials, and initialize its indexing pipeline. We then examine the generated .repowise artifacts, analyze the repository graph with…
In this tutorial, we construct a completely useful MCP-style routed agent system from scratch, combining software discovery, clever routing, structured planning, and execution right into a single cohesive workflow. We begin by organising a modular software server that exposes capabilities reminiscent of internet search, native retrieval, dataset loading, and Python execution, all outlined by structured…