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This learning note introduces the concept of an agent harness as the infrastructure layer around an LLM, proposing the ETCLOVG taxonomy (Execution, Tooling, Context, Lifecycle, Observability, Verification, Governance) and demonstrating its application through a coding agent case study.
Runtime is a platform that provides sandboxed coding agents with company context, integrations, and guardrails, allowing every team member to automate tasks and ship work using agents. It includes custom environments, specialized agents, observability, and supports various integrations and deployment options.
A deep dive into the missing infrastructure for autonomous agents to participate in markets, breaking down the technical stack into trust, market, and control planes, highlighting ERC-8004 as a key standard.
The article discusses the emergence of 'agent context engines' like Redis Iris as a runtime layer that combines retrieval, memory, data sync, and caching, enabling agents to work with live business data without custom integration per workflow.
The article discusses the challenge of building agent infrastructure, emphasizing that trust and evidence are more critical than retrieval, and introduces Ninelayer's focus on providing better evidence for coding agents.
This article deeply explains the concept of Harness Engineering through a talk by IBM engineer Tejas Kumar, which involves adding deterministic infrastructure (such as tool registries, context management, guardrails, and validation loops) to AI Agents to solve model out-of-control and hallucination problems, ensuring stable task execution.
Cline has open-sourced an SDK for building portable coding agents across apps, IDEs, and CLIs, with Hicap providing inference support.
The author shares their experience building an AI agent infrastructure using Rocket.Chat, CLI agents, and tmux, scaling to 250 clients to help them build websites. They pivoted from selling a service to teaching clients to use agents themselves, emphasizing the importance of context management in such systems.