Enterprise software news — SaaS platforms, ERP, CRM, productivity suites, and AI integrations in business software.
The open-source tool Promptfoo, acquired by OpenAI in March 2026, maps its 155 attack plugins to the OWASP LLM Top 10 2025 list for structured red teaming of LLM-powered products. It details the 2025 revision's new categ…
The key insight from a popular r/openclaw thread is that agent costs can be reduced to one-third by routing simple tasks like heartbeat checks and status monitoring to cheaper models instead of using expensive models lik…
At Google I/O 2026, the company shifted its AI strategy from treating AI as a chatbot to positioning it as an "operating system for action," introducing persistent agents like Gemini Spark that can take actions across ap…
By 2026, the AI industry has shifted from building passive chatbots to deploying autonomous "agents" that act on objectives without human intervention, with major companies like DBS Bank, Visa, and Microsoft running real…
Practical guide for engineers and security teams evaluating whether to run large AI models locally, in private cloud, or via secure enterprise platforms. It argues that AI performance depends not only on GPU power but al…
MCP (Model Context Protocol) is a standardized communication layer that enables AI agents to discover, invoke, and receive results from tools, APIs, and databases. It clarifies that MCP does not make AI smarter or execut…
Architecture of DocuIntel, a secure AI document indexer built with Next.js and Supabase that uses Gemini 2.0 Flash for multimodal parsing and a 3,072-dimensional vector embedding model. It details how the system enforces…
Key lessons from the Google Cloud AI Agent Bake-Off, where developers built autonomous AI agents under time constraints. It emphasizes that moving from demo to production requires "rigorous agentic engineering" over prom…
At Google I/O 2026, the company repositioned its Antigravity platform from an AI-native IDE into a full agent orchestration infrastructure, releasing a standalone desktop app, a Go-based CLI, an SDK for custom agents, an…
The authors detail the process of refactoring a monolithic AI sales research agent named "Titanium" for production readiness. Key lessons included replacing a fragile linear script with a distributed pipeline of speciali…
Google Cloud has launched Agents CLI, a unified command-line tool designed to streamline the entire Agent Development Lifecycle (ADLC) by allowing AI coding agents to directly scaffold, evaluate, and deploy production-gr…
General Availability of Gemini Embedding 2, a unified multimodal model that maps text, images, video, audio, and documents into a single embedding space supporting over 100 languages. It enables use cases like agentic mu…
Stateless chatbots fail in enterprise workflows like HR onboarding or invoice disputes, which require long pauses and multi-step processes spanning days or weeks. It introduces the Agent Development Kit (ADK) for buildin…
Genkit, an open-source framework for building AI-powered applications, has introduced a middleware system that allows developers to intercept and customize generation calls and tool execution loops. The middleware, avail…
As engineering teams iterate on prompts for large language models, they face challenges similar to managing configuration files, requiring dedicated storage, versioning, sharing, and security. It reviews existing solutio…
Platform engineering should leverage existing tools like GitHub rather than building separate portals, as developers already spend most of their time in GitHub. It outlines a strategy using "golden-path" starter repos wi…
At Google I/O 2026, Google unveiled a major redesign of Gemini, shifting its interface from a traditional chatbot to a more integrated, AI-native productivity environment focused on developer workflows. The update introd…
"Replay" as the first feature for SafeRun, a reliability infrastructure for AI agents, prioritizing post-incident debugging over pre-flight validation. It argues that most teams struggle to reproduce agent failures becau…
Generic error messages like "tool failed" are insufficient for AI database agents using MCP (Model Context Protocol), as they hinder both automated recovery and human auditing. It emphasizes that database tool failures c…
Against using admin-level database credentials for AI agents, as this poses significant security risks. Instead, it recommends granting each AI agent a narrowly scoped credential tailored to its specific task, with read-…