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Database software helps organize, manage, retrieve, and analyze data in databases. But what does that actually mean in practice? In this video, we explain what database software is using a simple library analogy, show how it helps add, edit, delete, and report on data, and break down the main types of database tools used by developers, DBAs, analysts, and technical teams. You will also see examples of well-known database software, including SSMS, MySQL Workbench, pgAdmin, Oracle SQL Developer, JetBrains DataGrip, DBeaver, and dbForge Edge.

Your agent writes code fast, but you shouldn't have to see it until it's right. Chunk sidecars are lightweight microVMs that work inside the agent loop, requiring agents to pass pre-push validation in a CI-like environment before they declare they're "done." That means no massive CI pile-ups, no long round-trips that risk resetting your agent's context. You're sending code you already know is good.

Most AI applications in production right now were shipped on vibes. A developer ran a few queries, liked what they saw, and pushed to prod. Laurie Voss argues that's the core reason so many AI products feel broken, and the fix is simpler to name than it is to do: write the tests.

Compute, network, and now storage it’s available now, spin it up straight from the portal and have a go.

Harness has been named a Leader in the 2026 Gartner Magic Quadrant for DevSecOps Platforms — for the third year in a row. Here's what stands out: almost every company in the Leaders quadrant is missing a piece. Some have Dev, some have Ops, but not the security. Harness is the one platform that brings Dev, Sec, AND Ops together — with AI built in. AI is changing how software gets built: more code, more automation, more agents — but also more complexity. Teams need delivery, security, testing, reliability, and cost in one place. That's what we're building every day.

AI agents are powerful. They're also unpredictable, non-deterministic, and capable of doing things you didn't ask them to do, as the Rome Alibaba and Claude Mythos case studies make very clear. The answer isn't to avoid agentic AI. It's to run it properly. In this demo, Ben Norris, founding engineer at relaxAI, shows how to build a fully sandboxed AI agent environment from scratch, an ephemeral Civo VM provisioned via Terraform and GitHub Actions, locked down with egress policies, an unprivileged Linux user, and hard resource caps, running a Claude Code session pointed at the relaxAI API.

Discover how Anbox Cloud helps engineering teams scale Android development by moving Android workloads from physical hardware into the cloud. In this video, we showcase how developers can run, test, validate, and share Android environments on demand using containerized and virtualized Android instances. We explore how both approaches work, key differences, and use cases.