Fenno
Git-native coding agent that turns Issue and pull request discussions into planned, tested code changes.
Community:
Product Overview
What is Fenno?
Fenno is a coding agent embedded in GitHub, GitLab, and CNB workflows. Teams can mention @fennoai in an Issue or pull request to request implementation, planning, review, refactoring, or workflow cleanup. It analyzes repository context, performs the requested work in an isolated environment, runs tests, and opens pull requests for human review. Fenno also supports configurable commands, multi-model routing, and private deployment options for teams with stricter security requirements.
Key Features
Git-Native Workflow
Works directly inside Issues and pull requests, so teams can assign engineering tasks without switching to a separate chat or coding tool.
Issue-to-PR Implementation
The /code command reads repository context, writes code, runs tests, and opens a pull request for review.
Planning and Code Review
Provides file-level implementation plans and reviews pull requests for bugs, security issues, performance concerns, and style problems.
Custom Agent Commands
Teams can define reusable commands such as /deploy, /migrate, and /refactor through .fennoai.yml configuration.
Multi-Model Flexibility
Supports multiple model providers and lets teams choose models by repository or command, using their own keys or Fenno AI Gateway.
Private and Auditable Execution
Offers isolated task environments, action logs, policy-based permissions, and self-hosted or air-gapped deployment options.
Use Cases
- Bug Fix Automation : Developers can assign a reported bug in an Issue and receive a tested pull request with the proposed fix.
- Pull Request Review : Engineering teams can identify likely defects, missed error handling, security risks, and code-quality issues before merging.
- Implementation Planning : Teams can generate read-only, file-level plans to align on technical scope before starting development.
- Repository Refactoring : Developers can simplify existing pull requests by extracting helpers, reducing duplication, and cleaning up complex code.
- Standardized Engineering Workflows : Platform and engineering teams can encode repeatable repository tasks and review rules as custom commands.
- Private Enterprise Development : Organizations with compliance constraints can run the agent in self-hosted or air-gapped environments.
FAQs
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