Systems | Development | Analytics | API | Testing

Multiplayer is joining FilingRamp

Four years ago, we started Multiplayer with an ambitious goal: to help teams work better on distributed systems. Since then we've grown to thousands of users, and we reached a milestone I'm especially proud of: open-sourcing our AI debugging agent to put it in the hands of every developer who's ever wrestled with a gnarly bug or waded through PR slop from AI tools. Today I'm excited to share the next chapter: Multiplayer is joining FilingRamp.

How to design & test APIs with OpenAPI & Swagger | What's changed in 3.1 & 3.2

Outdated API docs and last-minute bugs cost teams time and trust. Learn how the OpenAPI Specification help you document, govern, and test your APIs from design to deployment – all inside SmartBear Swagger. SmartBear's Yousaf Nabi, Developer Advocate, and Chris Armstrong, Manager of Developer Relations, explain why API documentation drifts out of sync and walk through what's changed between OpenAPI 3.0, 3.1, and 3.2. After covering a brief history of Swagger and the OpenAPI specification, they demo the full API workflow across Swagger.

How Product Teams Close Engineering Gaps Without Long Hiring Cycles

A product roadmap rarely stalls because the whole team is stuck. It stalls because one person is. Picture a release that depends on a payment integration, a real-time feature, or a migration to a framework nobody in-house has shipped before. The rest of the work is ready. But that one gap sits in the critical path, and everything downstream waits behind it.

How Vehicle Wrap Design Software Integrates With Business Operations

Vehicle wrap businesses manage a surprisingly complex set of moving parts, from client briefs and design revisions to material procurement, installation scheduling, invoicing, and real-time job tracking. The software used to create wrap designs sits at the center of this workflow, and whether it integrates with the rest of the business often determines how efficiently projects move from concept to completion.

How to curate observability data for AI agents

Most debugging agents fail not because the model is wrong, but because the data going in is not ready for machine consumption. Here's what data curation actually looks like in practice. When we started building Multiplayer's debugging agent, we made the same mistake almost everyone makes. We gave our coding agent access to observability data and expected it to figure out what was relevant. It didn't.