Tool profile · Publisher documentation
Refact.ai is an AI coding assistant designed to live inside your integrated development environment. According to its supplier's public documentation, it lets you delegate end-to-end coding tasks to an autonomous agent, use contextual chat inside the IDE and benefit from code autocompletion. It also presents integration with GitHub, databases and CI/CD, plus on-premises deployment. Typical uses include drafting or refactoring code, asking questions about an existing codebase and automating parts of a development workflow. LE LABO IA has not tested the product, and this profile relies on the public documentation of its supplier. Exact prices, quotas, territorial availability and terms of use are not confirmed. Treat them as points to verify with the supplier before committing.
Tool profile · Publisher documentation
The product points below come from publisher documentation. No common hands-on test is claimed. Documentary profile, sources checked October 7, 2026. LE LABO IA has not tested this product.
Delegate end-to-end coding tasks to an autonomous agent inside your IDE, as described in the supplier documentation. Ask contextual questions about a codebase through chat integrated into the development environment. Speed up routine code writing with autocompletion. Explore integration with GitHub, databases and CI/CD pipelines, subject to confirmation with the supplier.
Exact prices, billing period, quotas and whether a free tier exists are not confirmed. Check the supplier's current offer, because no amount or free trial is guaranteed.
LE LABO IA has not tested the product. Exact prices, quotas, territorial availability and terms of use are not confirmed. The supplier documents integration with GitHub, databases and CI/CD, but the exact scope and conditions remain to be checked. On-premises deployment is documented, but its requirements and terms are not confirmed.
Before committing, visit the supplier site and check whether a free trial or demo is available. Verify the current price, billing period, quotas and what the license permits for your team size. If you can run a trial, test the autonomous agent, contextual chat and autocompletion on a small project of your own. Also confirm how GitHub, database and CI/CD integrations work, and what on-premises deployment requires in your environment.
