How Aldena Added Unified Web Search and Fetch to Its AI Coding Agents in 30 Minutes

Aldena, an AI coding-agent orchestration platform that turns Jira or Linear issues into ready-to-merge pull requests, adopted Context.dev to provide consistent live web access across all supported language models. By exposing shared web_search and web_fetch tools, Aldena ensures that agents can retrieve current search results and page content even when their underlying models lack built-in web capabilities. Founder Aaron Delasy used Claude to replace Aldena’s prior web provider in roughly 30 minutes, with linting, type checking, unit tests, and end-to-end tests completed during the migration; the only removed feature was an internally used publication-date field that was not customer-facing. The integration allows agents to incorporate live web research into broader workflows, such as searching for information and using the retrieved context to complete tasks, while avoiding separate web integrations for each model.

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