Building for the next wave: AI, infrastructure, and what's ahead for Temporal
Software is moving at a pace I’ve never witnessed before. AI agents that were weekend experiments just six months ago are now running in production, making big decisions for real businesses. It’s unprecedented and just as exciting as it is nerve-wracking.
Companies are orchestrating complex workflows that combine traditional business logic with AI decision-making, but infrastructure challenges haven't gotten easier; in fact, they've only gotten more difficult.
At Temporal, we've always focused on one thing: making it simpler to build systems that work and keep working — reliably at scale and in the messy reality of prod. That mission matters more today than ever.
Supporting developers in the AI era
Just in the past year, I’ve watched our community tackle increasingly complex challenges I couldn’t have even imagined a few years ago. Teams are building agentic workflows, integrating multiple AI models, and managing stateful processes that span both traditional and AI-driven systems.
I’m continually inspired by how our team shows up for the developer community. We’ve doubled down on meeting developers where they are — whether that’s through powerful integrations, hands-on learning, or collaborative partnerships. Some of which include:
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[Updated SDKs] Our work with OpenAI integrated their Agents SDK with Temporal, making it simpler to build production-ready AI agents that stay resilient when things go wrong.
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[Technology Partnership] We’ve deepened our partnership with MongoDB to enable developers to orchestrate reliable AI use cases built on MongoDB, including agents, RAG, and context engineering pipelines.
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[Technology Partnership] Pydantic's recent integration with Temporal as the underlying durable runtime will help developers build fault-tolerant agents that are production ready.
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[Services Partnership] We’ve partnered with Grid Dynamics to help leading global enterprises bring their vision for AI to life with durable, observable agentic solutions engineered to thrive in the complexity of real-world environments.
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[Education] And we’re investing in education— sparking “aha” moments at the AI Engineer’s World’s Fair and creating practical guides, and tutorials packed with tools and guidance to help you strengthen your agentic workflows with Temporal.
I’m so proud of my team not just for talking the talk, but working together when and where we can to make better solutions for you.
Taking the next step
I'm excited to announce that we've acquired Crystal DBA. The team has deep systems and AI expertise. Key members, including Founder and CEO Johann Schleier-Smith, have joined Temporal. Crystal DBA’s mission aligns closely with Temporal’s — both companies have been working to remove complexity from software development, improving velocity while supporting reliability and scalability. As we join forces, we are committed to delivering this vision for the full range of AI applications, including agents, ambient AI, and more.
What's driving this
Temporal exists because Max and I are just like you: often frustrated engineers without the tooling to meet the mark. That same spirit (a deep respect for developer time and focus) guides everything we do. When developers tell us they're spending too much time managing infrastructure instead of building features, we listen. When they need better tools for AI workflows, our team and partners deliver them, and we’ll keep doing it because our job is to make your job easier.
Moving forward
We're committed to this mission. It’s why we’re invested in our people just as much as our product. I'm thrilled to welcome Kate Caulfield as our VP of People. Kate is focused on fostering a thriving culture, evolving our hiring practices, and shaping an internal community that reflects the same values we bring to our products: clarity, reliability, and collaboration.
If you're passionate about simplifying how software is built and want to work alongside a team committed to solving hard problems, we’d love to hear from you.