Aider is an AI pair programming assistant that works in your terminal to help developers start new projects or build on existing codebases. It maps your entire codebase, supports 100+ programming languages, and integrates with popular LLMs like Claude, DeepSeek, and OpenAI to generate code changes with automatic git commits. The tool includes IDE integration, voice-to-code capabilities, and automatic linting and testing to catch errors before they're committed.
Aider is an AI pair programming assistant that operates directly in your terminal to help developers build new projects or extend existing codebases. It maps your entire codebase to provide context, supports 100+ programming languages (Python, JavaScript, Rust, Ruby, Go, C++, PHP, HTML, CSS, and more), and integrates with leading LLMs including Claude 3.7 Sonnet, DeepSeek R1, OpenAI o1 and o3-mini, as well as local models. The tool automatically commits code changes with sensible git messages, allowing developers to use familiar git workflows to review, diff, and undo AI-generated modifications. Aider includes IDE integration for requesting changes via code comments, voice-to-code capabilities for hands-free development, and automatic linting and testing to catch errors before commits. It also accepts images and web pages as visual context to improve code generation accuracy. Available as an open-source, pip-installable CLI tool with a git-native workflow, Aider processes approximately 15 billion tokens per week and has accumulated 42,000 GitHub stars and 5.7 million installations, making it suitable for individual developers and teams working across diverse tech stacks.
The policy states analytics data is collected and used to 'improve our Services' and mentions improving 'the ability of
No training opt-out mechanism was identified in the legal documents.
Moderate risk. Suitable for internal data but avoid confidential information.
The policy states analytics data is collected and used to 'improve our Services' and mentions improving 'the ability of our programming tools to work with LLMs,' but does not explicitly state whether user code/content is used to train AI models. The language is vague about whether actual user submissions feed model training versus only anonymized analytics.
“[Privacy] 'To understand and analyze how you use our Services and develop new products, services, features, and functionality' and 'improving the ability of our programming tools to work with LLMs, edit code, and complete user requests.'”
The policy does not explicitly address what license rights users grant over their code or content submitted to Aider. The absence of clear language about content ownership and licensing scope creates ambiguity about whether the company claims rights to user-generated code.
“[Privacy] Not found in documents”
The policy discloses sharing with 'affiliates,' 'vendors and service providers,' and 'analytics partners,' but does not provide a detailed sub-processor list or specify what data types are shared with whom. Analytics data is explicitly shared but described as associated with 'randomly generated identifier, not any directly identifiable user information.'
“[Privacy] 'We may disclose any information we receive to our current or future affiliates' and 'analytics services to collect and process certain analytics data to improve our Services.'”
The policy does not specify explicit retention periods or automatic deletion timelines. It mentions users can disable analytics collection but does not clearly state how long code submissions, communications, or other data are retained or what happens upon account termination.
“[Privacy] 'You can turn off analytics collection when using our programming tools' but no retention period specified.”
The privacy policy does not address IP ownership of outputs or code generated/edited through Aider. This critical dimension is not covered in the available document, leaving ambiguity about whether the company claims any rights to user-generated or AI-assisted code.
“[Privacy] Not found in documents”
The policy makes no mention of SOC 2, ISO 27001, GDPR compliance, HIPAA, or other security certifications. It only states 'reasonable efforts' to protect information with 'physical and electronic safeguards' but provides no third-party validation or published security documentation.
“[Privacy] 'We make reasonable efforts to protect your information by using physical and electronic safeguards designed to improve the security of the information we maintain.'”
Track and measure your AI tools with Olakai's observability platform.
Explore Olakai