Compare Ellipsis and Qodo (formerly Codium) side by side. Both are tools in the Code Review category.
Updated March 10, 2026
Choose Ellipsis if proven effectiveness—merge code 13% faster.
Choose Qodo (formerly Codium) if context-aware feedback that understands code intent, not just surface-level issues.
| Category | Code Review | Code Review |
| Website | ellipsis.dev | qodo.ai |
Ellipsis is a Y Combinator W24 AI developer tool that automatically reviews code and fixes bugs on pull requests, founded by machine learning experts focused on making code review more efficient. The platform uses LLM agents to catch logical errors, security issues, and enforce team style guides, with the unique capability to execute code it generates like a human developer. Ellipsis offers predictable pricing at USD 20 per user per month for unlimited usage, moving away from per-commit models. Users praise Ellipsis for reliable, time-saving reviews that help teams merge code 13% faster, with one CEO replacing an USD 80,000 full-time role with Ellipsis. The tool is SOC II Type I certified and doesn't persist source code, only processing it temporarily in private AWS VPC. With a 7-day free trial and free access for public repositories, Ellipsis provides a cost-effective solution for automated code review.
Qodo (formerly CodiumAI) is an agentic code integrity platform that integrates AI across development workflows to strengthen code quality at every stage through automated code review, test generation, and documentation. Founded in 2022 by Itamar Friedman (formerly Alibaba Group's Director in their Israeli AI Lab) and Dedy Kredo (who previously led product and data science teams at Exploriem and VMware), the company has grown to employ 100 people across Israel, the US, and Europe by 2025. Qodo's platform consists of three main products: Qodo Gen for in-IDE code generation and test writing, Qodo Merge for pull request reviews, and Qodo Command for scripting and scheduling custom agents from the terminal or CI.
What sets Qodo apart is its proprietary Context Engine, which blends retrieval-augmented generation with custom code-embedding models, allowing agents to reason across huge monorepos without manual prompt engineering. The platform provides context-aware feedback that actually understands what the code is trying to do, not just surface-level issues. Users report that Qodo automates 80% of manual nitpicks in pull requests, resulting in significant time savings and catching issues early without slowing developers down.
Qodo has secured significant funding including $11 million in seed funding in 2023 and $40 million in Series A funding in 2024 led by Susa Ventures and Square Peg. Enterprise customers include Monday.com, Ford, and Intuit. The platform is SOC 2 Type II-audited and offers flexible deployment options including SaaS, on-premises, VPC, or fully air-gapped environments, with Teams/Enterprise data auto-purged within 48 hours.
AI-powered code review tools that automatically analyze pull requests, catch bugs, suggest improvements, and enforce coding standards. These tools integrate into GitHub, GitLab, and CI/CD pipelines to provide instant, thorough review alongside human reviewers.
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