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ISC Stormcast For Tuesday, August 18th, 2026 https://isc.sans.edu/podcastdetail/10056, (Tue, Aug 18th)

Laravel Chores: Resumable Data Operations and Cleanups

Laravel Chores runs backfills, cleanups, and purges in checkpointed batches that survive deploys and crashes, then resumes where it left off. The post Laravel Chores: Resumable Data Operations and Cleanups appeared first on Laravel News. Join the Laravel Newsletter to get Laravel articles like this directly in your inbox.

Tinder cuts app cold starts by 47% with new R8 Configuration Analyzer

Workers - Connect handler no longer requires an experimental flag

Workers can now export a connect() handler without enabling any compatibility flag. Previously, using a connect() handler required the experimental compatibility flag, which cannot be enabled in production. A connect() handler lets a Worker accept a TCP connection forwarded from another Worker over a service binding, and read and write raw bytes on it using a Socket object: backend-worker.jsjs export default { async connect(socket, env, ctx) { const writer = socket.writable.getWriter(); awa

The Vercel Sandbox CLI is now more agent-friendly

The Sandbox CLI version ships four output and error improvements:4.0.1 Each of these messages now carries the action to take next instead of leaving you to work it out. and output now ends with a connect hint, so a fresh sandbox never leaves you wondering what to type next.createfork When a command references a sandbox that does not exist, the error is quiet and actionable instead of a raw API dump. Setting restores the request detail for debugging.DEBUG=sandbox:errors opens a plain interac

From retrieval to agents: 5 takeaways on production architecture for AI agents

As enterprises transition from search-driven experiences to agentic AI, requirements are shifting. Learn how context engineering and retrieval layers are now more critical for building trustworthy, production-ready AI agents.

Agentic treasury runs on searchable, observable context

Agentic treasury requires more than AI. It needs searchable context, observable systems, and trusted data to reduce decision latency and support confident, governed action.

How NVIDIA scales expertise with ChatGPT Work

NVIDIA teams use ChatGPT Work to reduce manual tasks, connect fast-moving signals, and scale successful workflows globally.