Systems | Development | Analytics | API | Testing

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

Jul 15, 2026 By SmartBear In SmartBear
Outdated API docs and last-minute bugs cost teams time and trust.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.
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How Product Teams Close Engineering Gaps Without Long Hiring Cycles

How Product Teams Close Engineering Gaps Without Long Hiring Cycles

Jul 7, 2026 By SystemsDigest In SystemsDigest
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.
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How Vehicle Wrap Design Software Integrates With Business Operations

How Vehicle Wrap Design Software Integrates With Business Operations

Jun 29, 2026 By SystemsDigest In SystemsDigest
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.
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multiplayer

How to curate observability data for AI agents

Jun 25, 2026 By Multiplayer In Multiplayer
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.
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multiplayer

Multiplayer is now open source

Jun 18, 2026 By Multiplayer In Multiplayer
The Multiplayer debugging agent is open source under MIT. Here's why, and what it means for how you use it. Today we're open sourcing the Multiplayer debugging agent: connect your favorite coding agent to prod to fix application bugs automatically. Run it locally and eliminate PR slop. The core (session-based data capture, local-first architecture, intelligent deduplication, and coding agent integration) is publicly available under MIT, free to use, and auditable by anyone.
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multiplayer

The death of the dashboard: why agentic AI is choking on legacy observability tools

Jun 16, 2026 By Multiplayer In Multiplayer
Dashboards, sampling, and data lakes were built for human debugging. Closing the bug-to-fix loop for AI agents requires rethinking how runtime data is collected and correlated. Observability as we know it is on its way out. For over a decade, we built telemetry stacks around a single consumer: a human, staring at a dashboard, trying to make sense of a system under stress.
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dreamfactory

Stateful vs. Stateless Web App Design | DreamFactory

May 26, 2026 By Kevin McGahey In DreamFactory
Last updated: May 2026 Stateful applications remember information about previous client interactions. Stateless applications treat every request as independent — no memory between calls. The choice between these two designs shapes how an application scales, how it handles failures, and increasingly how AI agents consume it.
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multiplayer

The debugging agent for developers: runs locally and eliminates PR slop

May 12, 2026 By Multiplayer In Multiplayer
The Multiplayer debugging agent is purpose-built for developers working with coding agents. It captures all the data observability tools miss and manages the whole process from bug identified to bug fixed. AI coding assistants are great at writing code. They are not great at fixing bugs in production and the reason is simple: they don’t have runtime visibility.
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keploy

What Is API Design? Principles, Best Practices & Patterns (2026)

Apr 17, 2026 By Keploy In Keploy
I’ve seen teams burn weeks untangling API messes that could have been avoided with a couple of days of upfront thinking. Endpoints named inconsistently, versioning added as an afterthought, error responses that just say "something failed" all of it traceable back to the same root cause. Nobody sat down and actually designed the API before building it. That distinction between building an API and designing one is what this guide is about.
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