
Understand the lifecycle of a Blaxel sandbox
Learn how sandboxes are built, managed, billed, and cleaned up behind the scenes.
A technical blog to share engineering deep-dives, Blaxel updates, and general guides on agentics.

I spoke at the Beyond Skills meetup earlier this week about shared context for agents. Here's the recap.

Run OpenClaw (formerly Clawdbot, Moltbot) safely inside a Blaxel Sandbox instead of your own computer.

The Blaxel Agent Skill lets your coding agent autonomously create sandboxes, deploy agents, run jobs, and launch apps - all from a simple prompt.

"Code mode" is now natively supported on Blaxel for OpenAPI-compatible APIs. With this, you can expose any OpenAPI specification to your agents as an MCP server hosted on Blaxel.

Build0 reduced AI infrastructure costs by 80% using Blaxel. Learn how our instant scale-to-zero sandboxes eliminate idle compute for bursty agentic workloads.

Connect your Claude Agent SDK agents to remote, secure Blaxel sandboxes, and cohost the agent itself for near instant latency.

Building for agentics requires more than just containers. We moved to bare metal to give agents instant-launching persistent sandboxes. An anatomy of our runtime.

SpawnLabs relies on Blaxel's perpetual sandboxes and real-time previews for its coding agents to "see" and iterate on code in real-time before production.

Docker founding engineers Sam Alba & Andrea Luzzardi built Mendral, the first 24/7 AI DevOps engineer, using Blaxel. See how our secure sandboxes power autonomous agents.
Blaxel and Rippletide partner to offer enterprises a full-stack solution for deploying secure, high-performance, trustworthy AI agents with real-time code execution and reduced hallucinations.

Our next-gen infra reduces request latency to sub-50 ms, enabling near-instant agentic responses across the network.

2025 was epic for us! Here's a recap.
In-depth guides and how-tos on how to run agentics in production.

MCP standardizes how AI agents connect to tools. Build integrations once, connect everywhere. Covers protocol details, security, and production deployment.

Standard encryption protects data at rest and in transit. TEEs protect it during computation. Learn how they work and where they fit for AI agents.

The gap between prototype and production is where most agent projects stall. Step-by-step deployment, security controls, and scaling for production agents.

Your agent worked in staging. Production exposed every infrastructure gap. Learn the five layers of the AI agent stack and where poor choices hurt most.

Code generation and code execution are different risk profiles. Learn the full loop: reasoning, runtime isolation, tool calling, and iteration.

EU AI Act high-risk enforcement begins August 2, 2026. What engineering teams must build: data lineage, audit logging, bias detection, and sandboxing.

AI-generated code introduced security flaws in 45% of test cases. Learn how to detect it, spot common vulnerability patterns, and build governance.

AI agents for data analysis accept natural language requests and execute multi-step analytical workflows autonomously. Examples, risks, and how to build.

Agents mix reasoning, tool use, and code execution in one session. Traditional security can't inspect what happens inside. Learn how to close the gap.

9 AI agents across coding, business, and IT ops compared. Honest assessments of what works, where limitations exist, and who gets the most value.

LLM function calling lets agents generate structured JSON to invoke external tools instead of hallucinating data. Covers how it works and use cases

Zero-shot prompting lets AI complete tasks without examples. Learn how it powers production coding agents via instruction tuning and pre-training