ThinkReview

ThinkReview is an empowering AI copilot designed to revolutionize the code review process for developers working with GitLab, GitHub, Azure DevOps, and Bitbucket. It integrates directly into your Pull Request (PR) or Merge Request (MR) sidebar, providing instant quality scoring and flagging security issues, all while keeping you in complete control of the final review. Targeted at developers who prioritize code quality and efficiency, ThinkReview eliminates the need for complex DevOps setups, allowing you to start reviewing in under 60 seconds by simply installing a browser extension. Key Features AI Copilot in PR Sidebar: Seamlessly integrates into your existing workflow on major Git platforms. Deep AI Code Analysis: Goes beyond syntax to detect security vulnerabilities, logic flaws, performance bottlenecks, and style inconsistencies. Chat with your PRs: Engage in natural language conversations with your code diffs to ask questions, get summaries, or generate inline comments. Custom Rules & Review Agents: Define and automatically enforce team-wide coding standards, security policies, and domain-specific patterns. Flexible AI Model Selection: Choose from leading frontier models like GPT Codex, Claude Sonnet, and Gemini Pro, swapping on the fly. Zero Code Retention & Privacy: Your code is never stored, processed in memory, and immediately discarded, ensuring proprietary code remains secure. Use Cases ThinkReview is invaluable for development teams aiming to accelerate their review cycles without compromising on code quality or security. It helps catch critical issues like potential security holes or performance pitfalls early in the development process, preventing them from reaching production. By automating the initial analysis, developers can focus on higher-level architectural concerns and complex logic, rather than spending time on repetitive checks. Teams can leverage ThinkReview to enforce consistent coding standards across projects, ensuring maintainability and reducing technical debt. The ability to define custom rules and utilize specialized review agents means the tool adapts to your unique codebase and project requirements, from migration checks to framework-specific linting. This leads to more standardized, higher-quality codebases and a more efficient, collaborative review environment. Pricing Information ThinkReview operates on a freemium model, allowing users to start with a free tier and upgrade to paid plans as their needs evolve. Specific pricing tiers are not detailed, but the "Start free, upgrade when you need more" indicates a flexible approach. User Experience and Support Designed for ease of use, ThinkReview boasts "Zero Setup" and "Works Everywhere." Users can install the browser extension (Chrome, Firefox, Edge, Brave, and all Chromium browsers), add their Git domain, and begin receiving AI-powered code reviews within 60 seconds. The reviews are displayed in a convenient, collapsible panel directly within the user's Git platform. The extension is open-source, allowing for full transparency and auditing of its code on GitHub, reinforcing trust and security. Technical Details ThinkReview functions as a browser extension that auto-detects Pull Requests and Merge Requests on GitHub, GitLab, Azure DevOps, and Bitbucket. It leverages advanced AI models such as GPT Codex, Claude Sonnet, and Gemini Pro for deep code analysis. For environments requiring maximum security or air-gapped setups, ThinkReview supports fully offline operation using local models via Ollama, ensuring code never leaves your local environment. All code diff transmissions are secured with HTTPS encryption, and the service adheres to a strict Zero Code Retention policy, processing code in memory and immediately discarding it. Pros and Cons Pros: Zero setup and easy integration as a browser extension. Supports all major Git platforms (GitHub, GitLab, Azure DevOps, Bitbucket). Deep AI analysis for quality, security, performance, and style. Interactive "Chat with PRs" feature for natural language queries. Customizable rules and specialized review agents. Choice of leading AI models. Strong privacy guarantees: Zero Code Retention, no training on user code, fully offline option with Ollama. Open-source extension for transparency. Cons: Relies on browser extension, which might not suit all enterprise security policies (though self-hosted/offline options mitigate this). While powerful, it's an "AI copilot," meaning human oversight is still required for final decisions. Custom rule definition might require an initial learning curve. Full repository context is optional, implying it's not always used by default. Conclusion ThinkReview offers a powerful, privacy-focused AI copilot that streamlines code reviews, enhances code quality, and boosts developer productivity across diverse Git platforms. Its ease of use, deep analytical capabilities, and commitment to data privacy make it an essential tool for modern development teams. Explore ThinkReview today to merge with absolute confidence and elevate your code review process.

hey-eye

IntroductionSearch is moving inside the AI answer. When someone asks ChatGPT, Perplexity, Gemini or Google's AI Overviews a question, the model decides which sources to read and cite. If your website isn't readable by that model, you don't show up.The problem is that most websites were built for Google's crawlers, not for AI. So brands are quietly going invisible in AI answers and never find out why.hey-eye is an AI visibility tool that shows you exactly where you stand, and helps you fix it.FeaturesFour-pillar visibility score. Enter a URL and hey-eye scans the page the way an AI model reads it, scoring Structural Integrity, AI Extractability, Content Clarity, and Authority and Trust.Fix with AI. Every issue comes with a one-click fix, so you get the solution, not just an alert.Compare two pages. Put your page head to head against a competitor's and see who reads cleaner to AI.Full-site audit. Go beyond a single URL and scan your whole site for extractability gaps.AI Crawler Tester. Check whether the major AI bots can actually access your site.Built-in generators. Meta tags, robots.txt, llms.txt and JSON-LD schema, ready to paste.Available as a web app, a Chrome extension, and an MCP connector.Use CasesCheck if AI can read your website before a launch or redesign.Diagnose why your content isn't being cited in AI answers.Benchmark your pages against competitors in AI search.Fix schema, structure and crawlability issues without a developer.Prepare your site for the coming era of AI agents.Technical DetailsBuilt edge-native on Cloudflare Workers, Pages and D1, with a JavaScript codebase and Claude powering the analysis and fixes. Runs entirely on the edge for fast, global performance. No account needed to run your first audit.Pros and ConsPros:Fixes issues, doesn't just report them.Reads your site the way an AI model actually does, not a generic SEO checklist.Fast, no setup, run an audit in seconds.Looks ahead to AI agent readiness, not just today's answer engines.Cons:Focused on AI visibility, not a full traditional SEO suite.Most valuable for people ready to act on the findings, not just monitor.Content and interface are English-first.ConclusionMost tools tell you that you're invisible in AI answers. hey-eye tells you why, and makes you visible. As search shifts from links to answers, being readable by AI stops being optional. hey-eye is how you check where you stand and close the gap.Run your first audit free at hey-eye.gr