Brunelly
Brunelly is an AI-native software development platform that orchestrates the entire delivery lifecycle—planning, coding, testing, reviews, and security—into a single governed, auditable system. It generates pull requests and test suites that align with a team's existing architecture and decisions, maintaining persistent project context across all stages. The platform is currently in beta, with early access available to engineering teams.
- Artificial Intelligence
- AI Agents
- Developer Tools
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Engineering teams increasingly adopt AI tools, but their software delivery pipelines remain fragmented across planning, coding, testing, and review stages. This disconnection causes AI-generated code to ignore existing architecture and design decisions, forcing teams to lose context and manually reconcile outputs across disconnected systems.
Solution
Brunelly provides an AI software development platform that connects every stage of the delivery lifecycle into one governed, auditable system. It uses persistent project context to generate pull requests that fit the existing architecture, patterns, and technical decisions, whether teams are building greenfield or extending brownfield codebases. The platform covers backlogs that understand system architecture, code that respects existing patterns, test suites reflecting actual software behavior, and code reviews informed by architectural and security requirements. An Expert Chat feature acts as a senior tech lead, answering architecture questions and exploring trade-offs with answers grounded in the project's history, constraints, and goals.
Target Audience
Primary users are engineering teams and software development organizations scaling their AI adoption while needing governance, auditability, and context preservation across complex codebases.
Features
- Full lifecycle orchestration spanning planning, development, testing, reviews, and security in one platform
- Architecture-aware backlogs that understand system design rather than just textual briefs
- Pull request generation that respects existing codebase patterns, architecture, and prior decisions
- Expert Chat with persistent AI context that provides answers grounded in project history, constraints, and goals
- Test suite generation reflecting actual software behavior and domain-specific edge cases
- Governance and audit controls embedded by design across all AI-generated code and reviews