A technical blog to share engineering deep-dives, Blaxel updates, and general guides on agentics.
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.
Connect your Claude Agent SDK agents to remote, secure Blaxel sandboxes, and cohost the agent itself for near instant latency.
Build0 reduced AI infrastructure costs by 80% using Blaxel. Learn how our instant scale-to-zero sandboxes eliminate idle compute for bursty agentic workloads.
Run OpenClaw (formerly Clawdbot, Moltbot) safely inside a Blaxel Sandbox instead of your own computer.
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.
See exactly what your AI agents are doing under the hood with zero setup required.
We're excited to announce that Blaxel has raised $7.3M in seed funding from First Round, Y Combinator, Liquid 2, Multimodal and others.
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.
Compare Modal pricing against alternatives for ML workloads vs. CPU-focused platforms for AI agent sandboxing.
Compare RunPod alternatives for running code execution, including Blaxel's perpetual sandbox platform.
AI agents break traditional SOC 2 assumptions with code generation and autonomous decisions. Learn how to implement SOC 2 in AI infrastructure.
Building agentic AI applications with a problem-first approach: validate use cases early, define metrics, and reduce engineering waste.
Compare MCP vs APIs for AI agent development. Learn key differences in latency, security, and when to choose each approach for coding agents.
Compare Daytona dev environment pricing against top alternatives like Blaxel, Vercel Sandbox, Cloudflare, Modal, and E2B.
Compare production-grade AI agent sandboxing platforms including Blaxel, E2B, and Runloop. Evaluate isolation, resume times, and standby duration.
Learn how browser sandboxing isolates web content, when to use containers vs. microVMs, and best practices for production deployment.
Tenant isolation secures multi-tenant AI platforms executing code. Learn why hardware-enforced boundaries matter for agents.
Traditional infrastructure wasn't built to handle AI-generated code that writes itself at runtime. AI sandboxes provide the isolation architecture needed to run untrusted code safely in production.
A sandbox is an isolated execution environment that separates untrusted or experimental code from critical system resources.
Serverless computing use cases for AI agents executing code: PR review, testing automation, refactoring, RAG, plus when to use microVMs.
