Systems | Development | Analytics | API | Testing

Connecting Salesforce to Claude via MCP is the advancement the SERP says it is. You authenticate once, your AI agent queries live CRM data, and you stop copying deal records into chat windows. For a Revenue Operations Manager who spent Q1 begging an admin to export pipeline snapshots, that matters.

Test execution is one of the most time-sensitive stages of software delivery. Teams are expected to validate functionality, ensure stability, and support release decisions within increasingly shorter development cycles. Even with strong automation in place, there is rarely enough time to execute every Test before a release. This makes prioritization a critical part of the QA process.

What an incredible day at the Agentic Analytics Playbook EMEA event! It might have been baking hot outside, but inside the Nobu Hotel, the energy was absolutely electric.

AI Transport v0.5.0 is now available. It adds first-class support for running an agent turn inside a durable execution framework, such as Temporal or Vercel's Workflow Development Kit (WDK), while every client watching the conversation still sees one clean, resumable stream. The last release, v0.4.0, let an agent hydrate its history from your own database. This one is about what happens when the process running the agent isn't around for the whole turn.

Thirteen vendors were formally evaluated. The market is projected to grow from $65 million in 2024 to **$1.434 trillion by 2030 **(in other words, this is a MAJOR emerging need)..

HTTP works fine for a chatbot that responds in seconds. Add token streaming, and it mostly still works. But once an agent starts doing things that take real time, reasoning across multiple tool calls, spawning sub-agents, running for minutes instead of milliseconds, the UX starts to falter. The connection drops while the agent is mid-thought. The user switches tabs, comes back five minutes later, and the session is gone. The agent finishes its work, but the client has already moved on.

AI coding agents have quickly become part of the daily workflow for Node.js developers. Whether you're using Claude Code, Codex CLI, OpenCode, Antigravity CLI, or Pi Agent, these tools are great at generating code, explaining implementations, and automating development tasks. But debugging production systems is a different challenge.