Ellipsis

Ellipsis.dev transforms how development teams approach code quality and velocity by integrating a comprehensive AI teammate directly into the workflow. Designed for developers and engineering teams, Ellipsis provides deep, automated code reviews on every commit, catching logical errors and security issues faster than traditional methods. Beyond mere feedback, Ellipsis accelerates feature delivery by autonomously generating working, tested code and serving as an intelligent resource for all codebase questions.

Key Features

🤖 Deep, Fast AI Code Reviews

Receive comprehensive, LLM-powered code reviews that analyze logical errors, antipatterns, style violations, security issues, and documentation drift within three minutes of every commit. You gain immediate feedback on pull requests, ensuring high standards are enforced consistently while allowing your human reviewers to focus on architectural decisions.

🛠️ Working, Tested Code Generation

Assign feature development or bug fixes to Ellipsis directly via GitHub issues, Slack, or PR comments. Ellipsis doesn't just suggest code; it acts agentically by spawning a dedicated Docker container, compiling the code, and running your existing test suite to ensure the resulting pull request delivers functional, tested code that integrates seamlessly.

💬 Contextual Question & Answer

Get instant, accurate answers about your codebase, historical changes, and architectural decisions directly within your communication tools (GitHub, Slack, Linear). Ellipsis leverages the full context of your repository and prior PRs, enabling faster knowledge transfer and reducing time spent searching for context or interrupting teammates.

📝 Style Guide-as-Code Enforcement

Codify your team’s unique style guide, logical rules, and best practices using natural language. Ellipsis automatically flags violations, documentation drift, and inconsistencies across the entire repository, ensuring mandatory standards are enforced consistently and allowing the AI to learn and adapt based on your team’s feedback over time.

Use Cases

1. Expediting Feature Development and Bug Fixes

When a developer needs a quick fix or a standard feature implementation, they can assign the task to Ellipsis via a GitHub comment or issue. Ellipsis handles the necessary code generation, testing, and submission, drastically reducing cycle time for routine tasks and freeing up senior engineers for complex problem-solving.

2. Maintaining High Code Quality and Security Standards

Use Ellipsis to automatically scan every incoming commit for common pitfalls, security vulnerabilities, and style violations. For instance, you can enforce specific naming conventions or flag the misuse of deprecated functions, ensuring that quality gates are met across the entire team, regardless of developer experience level.

3. Analyzing Engineering Performance and Team Health

Leverage the built-in Analytics suite to gain objective metrics on team productivity, code quality (e.g., complexity distribution), and collaboration patterns. Ellipsis provides data on Units of Work and Technology Usage, giving engineering managers actionable insights needed to identify bottlenecks and optimize resource allocation effectively.

Ellipsis.dev is designed as a true AI teammate, providing depth and reliability that goes significantly beyond basic "LGTM-as-a-service" tools.

• Guaranteed Working Code Delivery: Ellipsis uniquely delivers working, tested code by running code compilation and test suites within a dedicated, isolated Docker environment. This capability ensures the AI-generated output is validated against your specific repository requirements before submission, unlike chat-based tools that often require manual integration and debugging.
• Security and Trust Built-In: We understand source code security is paramount. Ellipsis is SOC 2 Type 1 certified and operates with a strict no-data-retention policy. Your source code is never persisted; it only lives on servers in a private AWS VPC during job processing, maximizing confidentiality and trust.
• Reliable Confidence Reporting: Ellipsis prioritizes accuracy over false confidence. When the AI is genuinely confused about a context or request, it is explicit about its confusion, preventing the common pitfall of wrong, but highly confident, AI-generated answers.
• Universal Language Support: Ellipsis is built to support all programming languages, ensuring that engineering teams running polyglot repositories can maintain a consistent level of automated quality and support across their entire stack.

Conclusion

Ellipsis.dev provides a powerful combination of velocity and quality control, enabling engineering teams to scale efficiently while maintaining rigorous standards. By automating reviews, enforcing style guides, and reliably generating tested code, Ellipsis allows your developers to maximize their impact.