Building Agents Makes Taste Actionable
brandon_galang · x · 2026-07-11
A developer shared a counterintuitive experience from building products with AI Agents: subjective "taste" translates into actionable, concrete engineering decisions.
In agent workflows, taste is no longer an abstract feeling. It materializes into deciding what information to ignore, how to narrow down a task scope, choosing which sources to trust, specifying which processes shouldn't be automated, and knowing when to stop searching.
More from coding & agent
- A roundup of AI agents and MCP resources, including how to evaluate agents — _jaydeepkarale · 2026-07-21
- Anthropic shares a masterclass on how it builds AI agents — _jaydeepkarale · 2026-07-21
- Anthropic masterclass spotlights how to build and observe AI agents — _jaydeepkarale · 2026-07-21
- A beginner guide to AI agents points readers to a Stanford webinar — _jaydeepkarale · 2026-07-21
- A full course shows how to build and deploy an AI agent with OpenAI and LangChain — _jaydeepkarale · 2026-07-21
- A practical guide on how to evaluate AI agents — _jaydeepkarale · 2026-07-21