AI Coding

What is Aider, and How to Deploy It in an Enterprise Data Stack?

Last updated on
April 10, 2025
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What is Aider?

Aider is an AI-powered coding assistant that integrates with popular development environments, leveraging large language models to enhance programmer productivity. It offers real-time code suggestions, bug detection, and automated refactoring, significantly reducing development time and improving code quality. For example, a software company implementing Aider could see a 30% increase in feature delivery speed and a 40% reduction in post-release defects, leading to substantial cost savings and improved customer satisfaction.

Use cases for Aider

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Why is Aider better on Shakudo?

Aider's AI pair programming capabilities are seamlessly integrated into Shakudo's infrastructure, allowing developers to leverage GPT-powered coding assistance directly within their existing development environment. The platform's kubernetes-native architecture ensures that Aider's terminal interface and git repository interactions work flawlessly while maintaining enterprise-grade security and version control.

Running Aider on Shakudo dramatically reduces deployment complexity and time-to-value, as teams can instantly start using AI pair programming without worrying about infrastructure setup, model hosting, or security configurations. Shakudo's expert-guided implementation ensures organizations can quickly scale from initial proof-of-concept to production-ready AI pair programming across their entire development team.

The flexibility of Shakudo's platform allows teams to easily switch between different language models for Aider, whether using GPT-3.5, GPT-4, or custom models, while maintaining consistent development workflows. This adaptability, combined with Shakudo's end-to-end infrastructure management, means development teams can focus purely on coding rather than DevOps overhead.

Why is Aider better on Shakudo?

Core Shakudo Features

Own Your AI

Keep data sovereign, protect IP, and avoid vendor lock-in with infra-agnostic deployments.

Faster Time-to-Value

Pre-built templates and automated DevOps accelerate time-to-value.
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Flexible with Experts

Operating system and dedicated support ensure seamless adoption of the latest and greatest tools.

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Neal Gilmore
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