Systems | Development | Analytics | API | Testing

The Architecture Decision Your Multi-Agent System Will Live With

Most teams building multi-agent systems hit the same wall at roughly the same point. The prototype works. Agents chain together, tasks complete, the demo impresses the room. Then someone asks: "What happens when this runs a thousand times a day? What happens when an agent calls an external API that's down? How do we know what the agents actually did?" That's when the architecture conversation starts. Here's the framing that clarifies most of these questions.

How to fix API contract drift with AI agent skills | SmartBear Swagger Contract Testing

Your AI coding agent can already write code. Can it verify a contract, run provider checks, and tell you whether it's safe to deploy? This video shows you how to set up SmartBear Swagger Contract Testing drift AI Agent Skills, so your agent can spot API drift and write the missing tests for you, without needing the context multiple times.

Observe Opaque Services With OpenTelemetry eBPF + proxymock

Every SRE team operates services it cannot see into: a vendor binary, an inherited legacy deployment, a container whose owning team dissolved two reorgs ago. The routes are undocumented, the dependencies are unknown, and when a request takes 130 milliseconds nobody can say whether that time is application work or a wait across a network boundary.

Government API Use Case: How to quickly connect your application with Data.

Getting data out of source systems and into the applications that need it is usually slow, custom, and hard to secure. Today I'll show you how DreamFactory solves that as a secure data gateway. This demo today is based on a government healthcare use case.

How DreamFactory Helps Schools Use AI Safely on Their Own Data

Every school, college, and university is being asked the same question right now: Can we use AI on our own data without putting student records at risk? The promise is real, including personalized learning, faster advising, and smarter operations. So is the fear. AI that touches student information runs straight into FERPA, breach risk, and a simple trust problem: once data leaves your control, you can't govern it.
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Two confident fixes missed this production bug

Every new signup posts a message to our Slack. The format is dull and reliable: Overnight this week one arrived like this: That trailing nothing was the entire incident. No error logs, no alerts. A returning user had signed up, our signup service had attached them to a tenant we deprovisioned back in December, and the only symptom in the whole company was a Slack message that ran out of words. Their company's email domain still pointed at the dead tenant, so instead of a fresh workspace they landed in a corpse: domain mapping still live, cloud infrastructure long gone. I'm on call this week, so I pulled the thread.

The Pod Was Cheaper. The Service Wasn't.

A smaller Kubernetes pod can lower allocation cost while completing less work. Green status codes and matching schemas can hide it. This walkthrough combines OpenCost allocation data with proxymock behavior and performance evidence. A candidate passes only when behavior and throughput hold while unit cost falls.