
We envision a future where software development is unhindered by the time-consuming and error-prone task of manual code review. At Sourcery, we use advanced AI technologies to transform how developers interact with their code, enabling faster, safer, and higher-quality software creation.
Our platform harnesses the synergy between proprietary static analysis and cutting-edge large language models to deliver intelligent, real-time code feedback and refactoring. By automating the process of code optimization and vulnerability detection, we empower developers to focus on innovation while maintaining the integrity and security of their codebases.
Rooted in deep technical expertise and a mission to radically improve developer productivity, Sourcery is building the future of coding by embedding AI as an essential collaborator in every software project.
Our Review
We've been keeping an eye on Sourcery since they emerged from London's tech scene in 2018, and frankly, we're impressed by how they've tackled one of coding's most persistent headaches. Code reviews are notoriously time-consuming and inconsistent—we've all been there, waiting days for feedback or catching obvious issues that should've been flagged automatically.
What caught our attention isn't just another AI coding tool, but their hybrid approach that actually makes sense. Instead of relying purely on large language models (which can be hit-or-miss), they've combined proprietary static analysis with LLMs from OpenAI and Anthropic.
The Smart Hybrid Approach
Here's where Sourcery gets clever: they're not putting all their eggs in the AI basket. Their static analysis engines catch the technical stuff—security vulnerabilities, complexity issues, performance problems—while the LLMs handle the nuanced, context-aware feedback that makes reviews actually helpful.
We tested their GitHub integration, and it's surprisingly smooth. Pull requests get automatically reviewed with inline suggestions that feel genuinely useful, not like generic template responses. The fact that it works across major IDEs (VS Code, PyCharm, Vim) shows they understand how developers actually work.
What Really Stands Out
The real-time aspect is a game-changer. Instead of waiting for human reviewers to get around to your PR, you're getting immediate, actionable feedback. We particularly appreciate that they've made it free for open-source projects—always a good sign when a company supports the broader developer community.
Their $1.87 million in seed funding (led by Forward Partners) suggests investors see the potential too. With backing from Runa Capital and Techstars, they've got the resources to keep improving their AI models and expanding integrations.
Who Should Pay Attention
This isn't just for massive enterprise teams. We can see individual developers and small teams getting serious value, especially those dealing with Python codebases. If you're tired of inconsistent code reviews or catching basic issues too late in the process, Sourcery's worth a look.
The mission resonates with us: they're claiming to tackle the 4.9 billion hours wasted annually on inefficient code handling. That's a bold number, but if they can deliver even a fraction of those savings, they're onto something significant.
Automated code review and refactoring for Python
Integrations with GitHub, GitLab, and major IDEs (VS Code, PyCharm, Sublime, Vim, Emacs)
Hybrid AI approach combining static analysis and LLMs for context-aware feedback
Inline suggestions and summaries on pull requests
Detection of code quality issues, complexity reduction, and security vulnerabilities






