Automation

Cursor Automations and the Shift from Prompting to Policy

One of the most current product shifts in AI development tooling is Cursor Automations, which turns coding agents into event-driven workflows instead of one-off assistants. The feature can trigger work from commits, Slack messages, timers, and operational events, then route the agent through review, checks, and deployment-style steps with humans only stepping in at key points.

That may sound like just another convenience layer. It is not. It reflects a deeper change in how teams are thinking about AI tooling.

VS Code's New Agent Features Show What 'Practical' Actually Means

One of the better AI tooling posts of the month came from Microsoft itself: “Making agents practical for real-world development.” That framing is useful because it captures what the market is moving toward. The interesting releases are no longer just about whether an agent can generate code. They are about whether the agent can survive contact with a messy, real workflow.

VS Code 1.110 is a good example of that shift. The March release adds native browser control for agents, better session memory, context compaction for long conversations, installable agent extensions, and a real-time Agent Debug panel. None of those features are flashy in isolation. Together, they show what “practical” now means in agentic development.

OpenClaw in 2026: Security Reality Check and Where It Still Shines

OpenClaw (the project formerly known as Moltbot and Clawdbot) had a wild start to 2026: explosive growth, a rebrand after Anthropic’s trademark request, and adoption from Silicon Valley to major Chinese tech firms. By February it had sailed past 180,000 GitHub stars and drawn millions of visitors. Then the other shoe dropped. Security researchers disclosed critical issues—including CVE-2026-25253 and the ClawHavoc campaign, with hundreds of malicious skills and thousands of exposed instances. The gap between hype and reality became impossible to ignore.

GitHub Agentic Workflows Are Here: What They Change (and What They Don't)

In February 2026, GitHub launched Agentic Workflows in technical preview—automation that uses AI to run repository tasks from natural-language instructions instead of only static YAML. It’s part of a broader idea GitHub calls “Continuous AI”: the agentic evolution of continuous integration, where judgment-heavy work (triage, review, docs, CI debugging) can be handled by coding agents that understand context and intent.

If you’re weighing whether to try them, it helps to be clear on what they are, what they’re good for, and what stays the same.

OpenClaw for Engineering Teams: Beyond Chatbots

I wrote recently about using OpenClaw (formerly Moltbot) as an automated SDR for sales outreach. That post focused on a business use case, but since then I’ve been exploring what OpenClaw can do for engineering teams specifically—and the results have been more interesting than I expected.

OpenClaw has evolved significantly since its early days. With 173,000+ GitHub stars and a rebrand from Moltbot in late January 2026, it’s moved from a novelty to a genuine platform for local-first AI agents. The key differentiator from tools like ChatGPT or Claude isn’t the AI model—it’s the deep access to your local systems and the skill-based architecture that lets you build custom workflows.

Transforming Sales Outreach: Using Moltbot as Your AI-Powered SDR

If you’ve been following the AI space lately, you’ve probably heard about Moltbot (also known as OpenClaw)—the open-source AI assistant that skyrocketed to 69,000 GitHub stars in just one month. While most people are using it for personal productivity tasks, there’s a more intriguing use case worth exploring: setting up Moltbot as an automated Sales Development Representative (SDR) for companies.

This post explores how this approach could work, including the setup process, the potential benefits, and yes, the limitations you need to understand before diving in.