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Glean enables developers to build AI agents as code

Glean has introduced a new feature allowing developers to build AI agents directly within their coding environments. This "headless agent building" approach enables the use of familiar software development practices like version control and testing for agent creation. Developers can define agent configurations and behaviors using files like `spec.yaml` and `INSTRUCTIONS.md`, and then test and publish these agents to Glean's managed runtime, which retains enterprise-grade permissions and governance. AI

IMPACT Streamlines AI agent development by integrating it into existing software engineering workflows and toolchains.

RANK_REASON The item describes a new feature for an existing product that enhances developer workflow for building AI agents.

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AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Glean enables developers to build AI agents as code

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Tool
The item describes a new feature for an existing product that enhances developer workflow for building AI agents.
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2 days old
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Full methodology in our editorial standards.

COVERAGE [1]

  1. Glean blog TIER_1 English(EN) ·

    Headless agent building: Create Glean agents where you code

    Kelly Huang | Build, test, version, and publish governed Glean agents from Claude Code, Cursor, Codex, and Git—without giving up enterprise context, permissions, or control.