Slack agent build: Chat SDK and AI SDK guide
You can build a production-ready Slack agent using Chat SDK and AI SDK without managing complex infrastructure.
You can build a production-ready Slack agent using Chat SDK and AI SDK without managing complex infrastructure.
Unchecked retries turn minor glitches into seven-figure liabilities. Learn why parallel agentic loops drain budgets faster than expected.
Most AI agents stall at 60% efficiency without closed-loop design. Learn the six architectural layers that enable true self-improving agent systems.
Learn how loop engineering replaces manual prompting with autonomous cycles, preventing seven-figure token bills through strict verification logic.
An AI coding agent plans multistep tasks, executes code, and iterates without handholding, moving far beyond simple autocomplete to true agency.
Durable agent sessions beat containers by 100x. Learn how the Agents SDK runtime manages state without external databases for reliable scaling.
One developer lost $4,200 in a weekend. Learn why autonomous loops make 30–50 calls per ticket and how to set killswitches.
Agentic design patterns explained by build: the escalation rule, the four-beat verify loop, multi-agent token costs, and how to pick the minimum structure.