Sebastian Kehle is a trailblazing AI engineer who thrives at the intersection of cutting-edge technology and practical application. With a consistent and strategic approach, he builds scalable AI-powered solutions while balancing his full-time engineering role and client projects. He is deeply engaged in sharing insights on modern tech stacks and frameworks with his audience.
For someone who preaches consistency, Sebastian’s tweets are so tech-heavy they might need a decoding ring just to figure out if you're learning AI or assembling a spaceship—guess he likes launching complex projects both literally and figuratively!
Successfully managing multiple complex AI projects alongside a full-time engineering role while maintaining a strong and consistent presence by sharing valuable, high-engagement technical content.
Sebastian’s life purpose is to pioneer and optimize scalable AI solutions, driving innovation within the tech community and enabling others to build smarter, faster, and more efficient applications.
He believes that consistency outperforms any particular tech stack and that thoughtful orchestration of AI and infrastructure components is key to scalable success. Transparency and practical knowledge-sharing are core to his philosophy.
Sebastian’s strengths include deep technical expertise across multiple frameworks and AI SDKs, exceptional consistency in execution, and a talent for demystifying complex technology through clear, informative content.
His focus on technical detail and rapid shipping might occasionally lead to undervaluing broader audience engagement tactics that boost visibility beyond his immediate technical community.
To grow his audience on X, Sebastian should blend his deep tech insights with engaging storytelling that highlights real-world impact, invite more interactive conversations, and consider broadening his content variety to include more beginner-friendly posts or industry trends commentary to expand reach.
Sebastian’s fun fact is his ability to juggle a full-time engineering job while rapidly shipping MVPs for multiple clients, all by leveraging a highly streamlined and consistent tech stack.
We’ve been running @mastra_ai powered agents at luca for a while.
As our use cases grew, our setup started to get hacky.
Here’s what we're changing and why it scales better.
🧵⬇️
We’ve been pushing @mastra_ai pretty hard lately.
Our orchestration setup worked, until it started collapsing under its own complexity.
Here’s how the new .network() update changes the way we think about agent composition.
🧵⬇️
We use @mastra_ai for our AI agents at luca.
Built on top of AI SDK 5, which we already use extensively.
The memory feature sold me — agents remember context from past conversations and learn from user patterns.
Also:
- Local playground
- Vector capabilities
- Built-in evals
Makes prototyping complex agents really easy.
We’ve been running @mastra_ai powered agents at luca for a while.
As our use cases grew, our setup started to get hacky.
Here’s what we're changing and why it scales better.
🧵⬇️
We’ve been pushing @mastra_ai pretty hard lately.
Our orchestration setup worked, until it started collapsing under its own complexity.
Here’s how the new .network() update changes the way we think about agent composition.
🧵⬇️
We use @mastra_ai for our AI agents at luca.
Built on top of AI SDK 5, which we already use extensively.
The memory feature sold me — agents remember context from past conversations and learn from user patterns.
Also:
- Local playground
- Vector capabilities
- Built-in evals
Makes prototyping complex agents really easy.
With the latest @mastra_ai update, streamVNext/generateVNext became the default stream/generate.
▪️ Improved behavior for nested agents
▪️ AI SDK v5 compatible
▪️ format option outputs in AI SDK v5 format
We’ve replaced most of our Python AI tooling with nested Mastra agents + AI SDK v5, and this update is a big help!
Love that the team keeps shipping 🙌
founder here&there (AI for irl) | ex-AIML @Apple, Turi (acq. ) | physics @Stanford, @Cornell | from Maine in Seattle | I post on consumer AI, product, travel.
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