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Agents in your software factory: Introducing the LLM primitive in Dagger

Blog post from Dagger

Post Details
Company
Date Published
Author
-
Word Count
848
Company Posts That Month
5
Language
English
Hacker News Points
4
Post removed?
No
Source URL
Summary

Dagger is extending its capabilities to integrate Large Language Models (LLM) into its software delivery workflows. This allows developers to build AI-powered automation, such as agents that can perform tasks like code analysis or deployment gates, directly within their workflows. LLMs are now a native component inside Dagger, enabling users to configure models, chain operations, and connect inputs/outputs within existing workflows. The integration provides real-time observability and enables the creation of autonomous, containerized workflows. Examples demonstrate how to build an AI code review agent using Dagger and LLM, showcasing its capabilities for tasks like code analysis. The LLM primitive is available starting in Dagger v0.18 as an experimental feature.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
LLM 17 4,226 639 179 -13%
Observability 2 2,122 444 131 +14%
Real-time 1 6,887 1,132 212 +49%
Secrets Management 1 1,622 159 73 +32%
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