As agents increasingly take action in real-world contexts, durable execution is higher stakes than ever. That’s why a16z is thrilled to lead @temporalio’s Series D.
Temporal is the code execution layer for critical workflows. Leading AI labs and AI-native companies, like OpenAI, Replit, Lovable, and Abridge, all rely on Temporal.
Temporal abstracts away that complexity by handling retries, state management, orchestration, recovery, and replay automatically, allowing developers to focus on business logic instead of the difficult plumbing of huge distributed systems.
For long-running agents operating over extended horizons, the durability that Temporal provides is the difference between a compelling demo and a production system.
There are no two people better-suited to solve this problem than Temporal’s cofounders, Samar Abbas and Maxim Fateev, who have spent their careers at the frontier of distributed systems.
We believe Temporal is defining that layer, and we’re thrilled to partner with Samar, Maxim, and the entire team as they build the execution backbone for software that acts.
By @sarahdingwang, @RaghuRaghuram, and @steph_zhang@SamarAtTemporal@mfateev
Learn how to build durable applications that never forget progress using Temporal and TypeScript. See how Temporal keeps workflows alive even when servers go down or code fails. This course is for developers who want to build reliable, fault-tolerant apps. #Temporal#TypeScript
What’s the difference between agentic AI and LLMs?
@techgirl1908 explains why the future of software dev is about more than just predictions
🎥 Clip from our latest LIVE #TestCaseScenario from @saucelabs
🔗 Full episode on LinkedIn: https://t.co/M1BX4lFlNw
LLMs = give you answers.
AI agents = take action.
In 30 seconds, Marcus Merrell from the @saucelabs podcast, Test Case Scenario, explains the difference and why it matters for the future of automation.
🎙️ Watch now ↓
The DevRel team at @saucelabs is having a retirement party for the Microsoft App Center!
Looking for a Microsoft App Center replacement. Read more about considerations here and raise a glass with us 🥂 https://t.co/uX6hMvS1Ce
For @SeleniumHQ developers, every feature has to work across five languages. AI helps bridge the gap, but the real game-changer? A shared language that makes moving across the codebase seamless.
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The real obstacle to AI revolutionizing development? Us.
Are we bold enough to rebuild processes and make AI a true collaborator?
Can we ditch the fantasy of "one tool to rule them all" and embrace smarter, leaner AI teamwork?
AI was hyped as the big solution to developer productivity, but the 2024 DORA report paints a different picture.
Our full conversation coming tomorrow..
Depending on who you ask, ChatGPT is either a game-changer or just an incremental upgrade.
Here’s the real question, though.
Are we celebrating meaningful progress or are we just too dazzled by small wins to demand true innovation?