Show HN: Agentic code review on PRs for less than $1/each (www.crumpledpaper.tech)

A new project has emerged that offers "agentic code review" on pull requests (PRs) at a cost of less than $1 each, leveraging large language models (LLMs) to enhance the code review process. The creator, who has been skeptical of AI hype, now recognizes the utility of such models when they operate under expert judgment and deterministic checks. The tool, which integrates with existing setups via GitHub Actions, distinguishes between "static" and "agentic" reviews; the former merely audits code changes, while the latter interacts with the codebase, runs tests, and performs comprehensive evaluations, leading to more insightful feedback. This development is significant for the AI/ML community, especially within open-source software (OSS) frameworks, as it promises affordable, scalable code review solutions that can maintain high-quality standards. The implementation uses DeepSeek v4 to minimize costs, enabling extensive reviews without the high token expenditure typical of other solutions. Key features include structured output, security measures for handling sensitive information, and a focus on limiting costs and review scope, which are essential for ensuring safety and efficiency in collaborative programming environments. This initiative could pave the way for wider adoption of AI-driven tools in software engineering, potentially transforming how code reviews are conducted today.