Agents Aren't Coworkers, Embed Them in Your Software

4 hours ago

Agentic management software (e.g., Moltbot, OpenClaw, ZeroClaw) is trending and allows building generic agent loops for tasks like code review and troubleshooting.
Current agents and copilots are designed to be human-like, leading to high cognitive load due to explanations, text walls, turn-taking, and supervision needs.
The solution is not smarter prompts but software designed with agentic interfaces to reduce conversation and enable ambient, calm technology for machines.
Key agentic design patterns include CLI for easy interaction, declarative specs (configs, schemas), and reconciliation loops (like in Kubernetes) for continuous convergence.
Databases can enhance agent efficiency via change data capture (CDC), providing streams of precise updates (inserts, updates, deletes) instead of requiring agents to poll or query snapshots.
CDC allows agents, such as in fraud detection, to react to specific events in real-time, reducing expensive re-evaluations and enabling proactive adaptation.
Incremental engines like Feldera naturally support this model by producing streams of changes from queries, making complex evaluations cheap and efficient.
Agents and CDC streams split work effectively: agents interpret new information and adapt logic, while engines apply logic continuously and emit updates for agent action.

Hasty Briefsbeta