The Loop: OpenClaw Self Hosted Chat to Agent Gateway, Security Risks to Treat Seriously

OpenClaw is a self hosted “personal AI assistant” that connects messaging apps to an autonomous agent that can run tools and workflows on your own infrastructure, and it is advertised as free and open source under the MIT license.

However, recent security reporting has highlighted both a critical hijack style vulnerability that was patched and a large number of exposed public instances, which makes sloppy deployment a real risk.

Econify’s take: Use caution! Do not run OpenClaw on personal or sensitive devices, and do not connect it to high value accounts or tokens unless you can isolate it and lock it down, because the ecosystem has already shown how quickly agent tooling can become an attack surface.This is not hypothetical: researchers have documented one click takeover and RCE style chains, and the adjacent agent social network Moltbook suffered a misconfigured Supabase database exposure that leaked large volumes of tokens and emails, which is exactly the failure mode you want to avoid.

Vercel Explains “Agent Skills”: A Reusable Knowledge Layer for AI Agents

Vercel’s FAQ on Agent Skills introduces a way to package repeatable expertise, instructions, scripts, and workflows, into reusable units that AI agents can automatically discover and load when relevant. Built on an open standard, skills work across different agent frameworks and use cases, from coding to operations.

Instead of repeatedly embedding rules and context into prompts, teams can centralize domain knowledge into modular skill packages. The article also clarifies how skills differ from MCP servers, system prompts, and rules: skills are best suited for structured, multi-step workflows with built-in context and guardrails. Installation is CLI-based, and a public directory supports discovery and reuse.

Econify’s take: Agent Skills reflect a shift from prompt engineering to structured, reusable agent infrastructure. By externalizing workflows and best practices, teams can improve consistency and scalability in agent-driven systems. The open standard is promising, shared skill formats could reduce duplicated effort across platforms. The key question is adoption: whether this becomes a broadly supported knowledge layer or remains ecosystem-specific.

jQuery is back?

Most engineers have written jQuery at some point in their careers, even if they haven’t touched it in years. It’s been nearly a decade since the last major release, which makes the arrival of jQuery 4.0.0 surprisingly notable. Twenty years after its original debut, the library quietly shipped a major version that drops legacy browser support, removes long-deprecated APIs, adopts ES modules, and improves security with better CSP and Trusted Types compatibility. It’s less about new features and more about finally clearing out the attic.
jQuery isn’t suddenly competing with modern frameworks, and that’s not the point. It still shows up in production more often than people admit — powering legacy dashboards, CMS-heavy sites, embedded widgets, and internal tools that quietly do their job every day. Version 4.0.0 gives those codebases a long-overdue cleanup: fewer legacy shims, better security defaults, and compatibility with modern build systems. For teams maintaining older frontends, that’s meaningful.

Econify’s take: If you’re starting something new, jQuery probably isn’t in the conversation, but many enterprise systems still depend on it. For those teams, 4.0.0 is a worthwhile upgrade. Dropping legacy browser baggage, improving CSP support, and adding proper ES module support makes it much easier to integrate into modern bundlers and build pipelines.

React Fixes a Core Pain Point with useEffectEvent

React’s new useEffectEvent Hook in v19.2 addresses one of the framework’s longest-standing issues: managing state safely inside effects without causing bugs like stale closures or infinite loops. If you've ever struggled to keep useEffect logic clean and predictable, this is a big deal.
The problem? Effects are reactive by default, which means any referenced state or props can trigger re-execution. This often leads to confusing behavior, especially when combining state reads with event-based logic. useEffectEvent cleanly separates reactive triggers from non-reactive logic, offering a safer, clearer way to access the latest values inside an effect, without bloating your dependency arrays.

For developers, this means:
• Fewer bugs caused by outdated references or missing dependencies
• Cleaner mental models for building effects that “just work”
• Better support for writing custom hooks without awkward ref juggling

The React team continues to prioritize stability and clarity, and useEffectEvent is a strong example of that focus. It may not grab headlines like Server Components or Suspense, but in day-to-day dev work, it’s a game-changer.

Econify’s take: React 19.2 doesn’t just patch a hole; it gives teams a formal pattern for separating event-style logic from synchronization logic. useEffectEvent is one of those rare additions that tightens your feedback loop and reduces mental overhead without changing how your components look or feel.The next time you're tempted to use a ref (or ignore a dependency linter warning) reach for useEffectEvent instead.At Econify, we're watching these changes closely, especially for teams managing complex state or scaling large UIs. This is one of those rare features that feels like it should’ve existed all along.

Claude Can Now Diagram Your Ideas in FigJam

Figma’s new Claude integration turns AI conversations into editable FigJam diagrams, no manual copy-pasting or diagramming required. Whether you’re working from a PRD, image, PDF, or just a prompt, Claude can now generate flows, charts, and diagrams directly inside FigJam, helping teams think and align faster.
For designers, PMs, and engineers alike, this means:

• Quicker kickoffs and brainstorming from natural-language prompts
• Visual alignment on timelines, dependencies, or system architecture
• Less context-switching between documents, tools, and teammates

It’s a big step toward turning AI from a solo ideation tool into a collaborative planning surface. Claude doesn’t just answer your questions; it helps shape your team’s shared understanding.

Econify’s take: We’ve been watching the shift from static docs to collaborative diagrams for a while—and this integration closes a key gap. FigJam and Claude let teams visualize faster and iterate together earlier, before decisions get locked in. For cross-functional teams navigating PRDs, Gantt charts, and service diagrams, this unlocks real velocity.