gjalla provides AI‑powered coding agents that continuously extract and maintain a live model of a codebase’s architecture, rules, dependencies, and constraints across all repositories. By surfacing real‑time attestations of each change, it lets development teams collaborate with agents while retaining full control, reducing technical debt and improving code quality by up to 23 %. The platform integrates via a simple pipx install and supports production‑grade workflows.
Funding
Funding not disclosed
Founders
Product
Problem
Development teams struggle to keep up with the volume and complexity of code changes generated by AI assistants, leading to accumulating technical debt, missed architectural violations, and increased risk of production failures.
Solution
Gjalla offers an AI‑driven platform that continuously extracts a live model of a system’s architecture, rules, dependencies, and constraints across all repositories. The platform deploys coding agents that automatically generate, review, and attest code changes against the up‑to‑date model, ensuring each modification complies with defined policies. Teams can configure rules, distribute skills, and tailor agent instructions at the system, project, or platform level, providing agents with the precise context they need. Attested commits are recorded with provenance data, giving developers clear visibility into who (or which agent) made each change and why. By integrating this continuous verification loop into existing workflows, Gjalla enables faster, higher‑quality delivery while maintaining control over code integrity and reducing technical debt.
Target Audience
Primary customers are software development teams and engineering organizations that rely on AI‑assisted coding and need to enforce architectural compliance and reduce technical debt at scale.
Features
- Real‑time extraction and maintenance of a comprehensive system model covering architecture, rules, dependencies, and constraints across all code repositories
- AI coding agents that generate, review, and automatically attest code changes against the live system model
- Configurable rule engine allowing teams to define policies, distribute skills, and set agent instructions at multiple granularity levels
- Provenance tracking for each commit, linking changes to the responsible agent and the specific rules applied
- Integration with standard development tools and pipelines via a command‑line interface (e.g., pipx installation)
- Dashboard view of attested commits, showing agent identity, rule checks, and timestamps for transparent auditability