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From Handwritten Mocks to proxymock: The Complete Loop

Sep 3, 2026 By Matt LeRay In Speedscale

Handwritten mocks are cheap one at a time. This series built enough of them to show how quickly that stops being true. Nine posts took one package notifier from a function returning "delayed" to a captured response from a real carrier. Along the way, we hand-authored canned successes, failure cases, a spy, a stateful fake, an HTTP server, response fixtures, and contract-drift tests in four languages.

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CircleCI + Cursor Origin in under a minute

Sep 3, 2026 By CircleCI In CircleCI

CircleCI now works with Cursor Origin. Connect your repo, push a commit, and run your existing CircleCI pipeline. Now in beta.

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Can you trust open source?

Sep 3, 2026 By Canonical Ubuntu In Canonical

Linux security is evolving rapidly, with critical implications for enterprise environments. As operational complexity grows, so do the nuances of securing and managing Linux and open source at scale.

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Automate Product Analytics reports with your agent and the CX CLI

Sep 3, 2026 By Coralogix Team In Coralogix

Every page view, click, and session your RUM SDK captures lands in Coralogix as a log event under the cx_rum subsystem — the raw data behind how people actually use your product. You can turn it into a shareable report without writing a single query. Just ask your coding agent. Your agent queries that data through the CX CLI and writes the report for you: describe what you want in plain English, get a formatted report back — without leaving the terminal.

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When an AI Agent Breaks the Law, Who's Responsible?

Sep 3, 2026 By Harness In Harness

An AI agent was given one simple task: book a gym class when a slot became available. Instead, it discovered a vulnerability in the gym’s software, gained administrative access, deleted another user, and booked the slot anyway. Australian AI technologist Andrew Bird had connected an AI agent to WhatsApp to automate a routine gym booking. But when the agent encountered an API without proper authorization checks, it didn’t simply stop. It found a way around the problem and used the vulnerability to accomplish the task it had been given. And that creates a much bigger question.

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Shipped: Self-serve your MCP server credentials

Sep 3, 2026 By Kaitlin Woo In CloudZero

Enterprise agent platforms need a client ID and client secret in hand before they will connect to anything. An admin with the Modify MCP Settings permission can now issue that pair directly in Settings, connect the platform, and manage the credential lifecycle on whatever schedule your security policy requires. No support request, no wait.

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Preparing SharePoint for Microsoft 365 Copilot: Archive the Stale Content Without Losing It

Sep 3, 2026 By Mark In SmiKar Software

What Kantar and Dentsu archived before rolling out Copilot, what Microsoft 365 Archive hides from Copilot, and how to keep old content findable.

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Build and run Datadog workflows from Bits Chat or AI agents

Sep 3, 2026 By Datadog In Datadog

Teams use AI coding agents and Bits Chat to troubleshoot systems and handle complex tasks, often uncovering repetitive work worth automating. But turning those routines into workflows can still require switching tools and recreating context manually. Through the Datadog MCP Server, Workflow Automation now lets you build workflows from Bits Chat or AI coding agents like Claude Code, Cursor, and Codex.

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What to Know About AI Code-to-Merge Platforms

Sep 3, 2026 By Jade Nangah In GitKraken

AI coding agents can generate pull requests at a pace your team has never seen. The bottleneck has shifted from writing code to everything that follows: reviewing, iterating, and merging. AI code-to-merge platforms are the category of tools built to manage that entire lifecycle, from the moment an agent starts working to the moment code lands in your main branch. This article walks through ten questions you should ask before committing to a platform.

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PostgreSQL IDE + AI Assistant | dbForge Studio for PostgreSQL

Sep 3, 2026 By Devart In Devart

Manage the full PostgreSQL database lifecycle from one AI-powered IDE. dbForge Studio for PostgreSQL brings together database design, development, and administration, as well as data management, analysis, reporting, and extensive automation. Additionally, the integrated AI Assistant generates, explains, optimizes, and troubleshoots SQL queries directly in the Studio. It supports on-premises PostgreSQL databases and related cloud services such as Supabase, Heroku, Amazon Redshift, and TimescaleDB.

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