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# Startup Presentation: Sourcery - Automatically Review Code

Are slow peer reviews killing your team's momentum? Discover how Sourcery uses LLMs to instantly evaluate PRs, delivering actionable, line-by-line feedback without breaking developer flow.

- **Speakers:** [Tim Gilboy](https://www.wearedevelopers.com/@tim-gilboy)
- **Event:** 
- **Published:** August 22, 2024
- **Duration:** 2:53
- **URL:** https://www.wearedevelopers.com/videos/1178-startup-presentation-sourcery-automatically-review-code

## Summary

The bottleneck of slow peer code reviews frequently disrupts developer flow and stalls team momentum. When developers wait days for feedback, context is lost, making revisions more difficult and time-consuming. Sourcery addresses this pain point by automating the code review process, delivering immediate, actionable feedback directly within the developer's existing workflow.

By combining static analysis tools with large language models, Sourcery replicates the depth of a human review in a fraction of the time. The platform integrates seamlessly into IDEs, GitHub, and GitLab, automatically evaluating pull and merge requests as soon as they are opened. It provides comprehensive feedback, including high-level summaries of changes, line-by-line critiques, and clear determinations on whether a PR should be approved or blocked.

This automated approach ensures engineers receive inline revision suggestions while the code context is still fresh. By removing the initial waiting period for peer evaluation, engineering teams can maintain their development velocity without sacrificing code quality or altering their established continuous integration processes.

**Keywords:** automated code review, static analysis tools, large language models, developer productivity, peer review bottlenecks, PR automation, IDE integration, developer workflow optimization, GitHub and GitLab integrations, inline code feedback, PR approval workflows, code quality enforcement

## Chapters

1. **The hidden costs of delayed peer code reviews** (00:00) — Waiting days for peer feedback disrupts developer flow and significantly slows down overall team progress.
1. **Using Sourcery to automate pull request code reviews** (00:56) — Combining static analysis and large language models provides immediate line-by-line feedback and actionable suggestions on pull requests.
1. **Integrating automated review tools into existing developer workflows** (02:09) — Adding automated code review capabilities directly to integrated development environments and version control platforms prevents workflow disruptions.

## Related Moments

- [How automated code reviews streamline the feedback loop](https://www.wearedevelopers.com/videos/349-build-a-ci-cd-pipeline-to-automate-code-reviews-and-ensure-code-quality) (from "Build a CI/CD pipeline to automate code reviews and ensure code quality")
- [Automating pull request feedback with AI code review agents](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) (from " Evaluating AI models for code comprehension")
- [Overview of the AI-powered serverless code reviewer](https://www.wearedevelopers.com/videos/1511-how-we-built-an-ai-powered-code-reviewer-in-80-hours) (from "How we built an AI-powered code reviewer in 80 hours")
- [Enforcing automated code reviews to manage accelerated delivery](https://www.wearedevelopers.com/videos/1902-behind-the-scenes-of-building-vs-code-harald-kirschner) (from "Behind the Scenes of Building VS Code - Harald Kirschner")
- [Reducing pull request cycle times with artificial intelligence](https://www.wearedevelopers.com/videos/1698-state-of-devex-2025-navigating-the-ai-revolution-and-developer-experience) (from "State of DevEx 2025: Navigating the AI Revolution and Developer Experience")
- [Optimizing the review process with meaningful communication and context](https://www.wearedevelopers.com/videos/475-how-to-optimize-non-coding-time) (from "How to Optimize Non-Coding Time")

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