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All digests tagged Docker
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Harbor is an open-source framework for evaluating AI agents on real tasks using isolated sandboxes. It allows engineers to test agent changes by measuring side effects and optimizing metrics like tool call count, moving from 'vibes' to 'evidence.'
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Jeremy Adams details building a wearable AI agent (NanoClaw) on a Raspberry Pi 4B. The system uses Neo4j and the POLE schema to create offline-first, graph-based memory, demonstrating robust edge computing capabilities.
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Learn how to set up an NVIDIA Jetson for remote AI development. This guide covers secure SSH setup, Wi-Fi configuration, Codex CLI integration, and validating CUDA GPU access via Docker containers.
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Four approaches to agent execution are compared: Docker's microVM sandboxes, Helix ML's centralized compute, Adobe's browser-native agents, and tldraw's canvas collaboration. Where should your AI agent run?
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Coding agents are great at generating code, but verification is the hard part. Learn how to use test oracles, anti test slop, and ADRs to ensure AI-generated code is reliable.
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To unlock agent autonomy, we need a new runtime layer enforcing safety. This system uses Containment, Scoped Capabilities, and Intent-Based Access to prevent agents from expanding their blast radius.
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This roadmap guides transitioning from Data Science to AI Engineering, emphasizing the shift from notebooks to structured Python projects using FastAPI, Pydantic, Docker, and PostgreSQL for production-ready systems.
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