Learn more about the latest developments from Entelligence
Whether you're leading a high-performing engineering team or scaling product development across multiple squads, integrating real-time AI code reviews into your IDE can significantly elevate your software delivery process. Learn how to install and use Entelligence AI's Code Review IDE integration for real-time feedback.
Anthropic's Claude 4 lineup: Opus 4, the new coding king (SWE benchmark leader), and the free, capable Sonnet 4. Analysis includes benchmarks, coding tests (Mario platformer), and when to use each, despite a 200K context window.
DeepSeek's R1-0528: a quiet launch, a loud challenge. Outperforming rivals on LiveCodeBench, this upgraded model boasts enhanced reasoning, 80% size reduction for local use (Unsloth), and is now on Hyperbolic Labs—a leap in accessible AI code generation.
Complete battlecard comparing AI code review platforms. Features detailed analysis of Entelligence, Propel Code, GitHub Copilot Review, and Greptile across IDE integration, team analytics, documentation automation, and enterprise capabilities to help you choose the right tool.
A comprehensive comparison of Claude 4 (Sonnet & Opus), Deepseek R1, and Qwen 3 across coding challenges including 3D solar system simulations, GSAP fashion websites, and bullet dodge games. See which AI model truly excels in real-world coding tasks.
We test two of the finest models in coding and reasoning recently launched - Grok 3 (Elon's AI, named the "smartest AI on earth") and Claude Opus 4 (best AI model for coding) head-on. From building Arkanoid games to competitive programming challenges, see which AI truly dominates in coding tasks and logical reasoning.
An in-depth comparison of Claude Opus 4, Claude Sonnet 4, and Gemini 2.5 Pro across coding benchmarks (SWE-bench, Terminal-bench), reasoning tasks, and real-world coding challenges. Includes hands-on examples, performance analysis, and practical guidance on which model to choose for different use cases.
Explore "vibe-coding", coding without a plan. Learn how to balance rapid development with sustainable practices, avoid tech debt, and how "invisible guardrails" from tools can help maintain code quality and team productivity.
Explore OpenAI Codex, a powerful AI software engineering agent that writes, debugs, and explains code. Learn about its key features, access via ChatGPT and CLI, and its role in the future of AI-driven development and automated code review.
A comparison of Claude 3.7 Sonnet and Gemini 2.5 Pro, analyzing their performance, efficiency, and accuracy in coding tasks. Discover which AI model leads in code generation, debugging, and multi-language support in 2025.
Discover how vibe coding is transforming development with AI tools like Cursor, Windsurf, and GitHub Copilot, and why Entelligence AI is essential for maintaining code quality in the flow state.
Explore how Entelligence Deep Review Agent, a context-aware AI code review tool, uses LSPs and LLMs to detect cross-file bugs, logical inconsistencies, and boost code quality across your entire repository.
Learn to build an intelligent Code Review Agent using Qwen3-30B-A3B and LangChain. This guide covers setup, tool definition, and agent initialization for automated code analysis.
Discover how engineering teams are moving beyond outdated metrics like LOC and PR counts to gain meaningful insights with real-time analytics.
Learn how to effectively use AI tools for coding while maintaining control and quality of your codebase.
Which AI code review tool gives you actionable, context-aware feedback? Compare features, capabilities, and real-world performance.
How does Deepseek R1 stack up against coding champion Sonnet 3.5?
How well do PR Review bots actually perform on catching bugs?
Robert Scoble interviews the founder on his podcast Unaligned.
See how Entelligence helps engineers get a comprehensive overview and explore large codebases in minutes.
With the rapid evolution of AI-powered PR reviewers, developers now have access to increasingly sophisticated tools that can identify critical bugs, improve code quality, and boost team productivity.
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