LinkedIn engineers built a multi-agent AI code review platform that uses multiple independent AI reviewers, deep customization, and a Kubernetes-based architecture to reduce hallucinations and low-sig…
A new wave of AI coding harnesses—including Databricks' Omnigent, DeepSeek Harness, Block's Buzz, Y Combinator's QM, Cloudflare's Flue, and Meta's Muse Code—is converging on a common architecture that…
Databricks launched Smart Routing in Unity AI Gateway, now in Beta, which automatically matches coding tasks to the most cost-effective model and harness, achieving 30%+ lower cost per task while matc…
Databricks introduced Omnigent contextual policies to block the 'lethal trifecta' of AI agent data theft, where a single session combines private data access, untrusted content, and an outbound commun…
Databricks reports that large enterprises can cut AI coding costs by up to 90 percent by using open models, efficient routing, and other techniques, based on its internal data and conversations with S…
Databricks has joined the Open Secure AI Alliance as a founding member alongside NVIDIA and more than 75 organizations to advance AI safety and security through open frameworks. The alliance aims to s…
Omnigent, an open-source framework, enables a policy-governed multi-agent financial research workflow that retrieves live USD-to-EUR exchange rates from the Frankfurter API, delegates drafting to a te…
Databricks introduces intent-based authorization in Omnigent to block prompt injection attacks by binding each session to a declared purpose, denying any action outside that purpose even if the agent'…
Databricks open-sourced Omnigent, a meta-harness that provides a single control plane for governance, cost, and cross-device collaboration across existing AI agent runtimes, on June 16 under Apache 2.…
Databricks researchers Nishith Sinha and Matei Zaharia demonstrated that a slow-burn prompt injection attack, which breaks data theft into individually harmless steps, can be blocked by a single conte…
Databricks reveals that AI token cost does not always equate to task efficiency, with its internal coding benchmark showing that models with cheaper per-token costs can incur higher overall task costs…
Databricks launched Omnigent, an open source meta-harness for AI agents that introduces contextual policies to track session history and govern agent actions based on accumulated risk, spending, or be…
Omnigent, an open-source AI agent framework and meta-harness, launched to unify multiple coding agents like Claude Code, Codex, and Cursor under a single interface, addressing governance gaps around a…
OpenAI announced Jalapeño, its first custom AI chip for LLM inference, built with Broadcom and intended for ChatGPT, Codex, and future agent products, signaling a push to own more of the AI stack. Mea…
Databricks open-sourced Omnigent, an AI agent governance layer, and introduced LTAP, an architecture unifying transactional and analytical workloads on a single copy of data, at its Data + AI Summit 2…
Databricks co-founders Matei Zaharia and Reynold Xin argue that the frontier AI ecosystem must remain open, unveiling Omnigent, an open-source meta-harness for combining and controlling agents across …
Z.ai open-sourced GLM-5.2, a frontier model with a 1-million-token context window and selectable reasoning effort, designed for long-horizon coding and agentic tasks. The MIT-licensed model integrates…
Databricks, a data and AI platform valued at $134 billion, is doubling down on its open-source strategy by launching OpenSharing, Omnigent, and DBRX for open LLMs at its Data + AI Summit. The company …
Enterprise AI inference costs have spiraled out of control, prompting a crisis as CFOs push back against ballooning token bills. Databricks CEO Ali Ghodsi called the situation unsustainable, and the c…
Omnigent launched an open-source platform that provides a unified layer over AI coding agents like Claude Code, Codex, and Pi, enabling users to swap or combine harnesses, enforce policies and sandbox…