@dabit3: Agent hooks extend frameworks and CLIs with custom controls, turning repeatable rules into deterministic behavior inste…
Summary
A tutorial on agent hooks that extend frameworks and CLIs with custom controls for deterministic behavior instead of relying on prompt instructions.
Similar Articles
@dabit3: https://x.com/dabit3/status/2055319214202777894
A technical guide introducing Agent Hooks, a concept for adding deterministic control points to agent workflows via lifecycle hooks, allowing developers to enforce rules and run validations at key moments.
Agents need control flow, not more prompts
The article argues that reliable AI agents require deterministic control flow and programmatic verification in software, rather than relying solely on complex prompt chains.
@dzhng: INTRODUCING: Duet Agent A new type of harness we're building at @duetchat Perfect for jobs that don't fit in one chat: …
Duetchat introduces Duet Agent, a new harness for running long-duration AI agent tasks with state machine relay, memory compaction, and a stateless runner for sandboxes.
AI agents still suck, so I built my own
The author built a custom AI agent application wrapping Claude Code and upcoming Codex support, focusing on composable workflows and seeking community feedback.
@djfarrelly: https://x.com/djfarrelly/status/2052779234234380479
The article argues that AI agent development should rely on stable execution primitives rather than rigid frameworks, which frequently change with emerging orchestration patterns. It emphasizes durable steps, persistent state, parallel coordination, event-driven flow, and observability to prevent costly rewrites as best practices evolve.