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The Best AI for Coding in 2025 (and What Not to Use

Best AI coding tools of 2025 identified via two years of testing. Recommended: ChatGPT Plus ($20/mo) and Perplexity Pro ($20/mo) for reliability. Avoid DeepSeek R1 and other poorly performing AIs. ChatGPT Free offers decent functionality but is limited. DeepSeek V3 shows promise but lacks knowledge in some areas. Overall performance of widespread AIs like Microsoft Copilot is subpar. AI bootstrapping is improving swiftly.

https://www.zdnet.com/article/the-best-ai-for-coding-in-2025-and-what-not-to-use-including-deepseek-r1/

I Tested DeepSeek’s R1 and V3 Coding Skills

DeepSeek's AI models, V3 and R1, were evaluated on coding tests, showing impressive performance relative to other AIs despite lower infrastructure usage. V3 excelled in creating a WordPress plugin and debugging, while R1 struggled with reasoning and edge cases. Overall, V3 outperformed R1, achieving three wins to R1's two. DeepSeek represents a notable entry in the AI coding space but still exhibits room for improvement.

https://www.zdnet.com/article/i-tested-deepseeks-r1-and-v3-coding-skills-and-were-not-all-doomed-yet/

Reality Check: Current State of AI Code Generation Tools

AI code generation tools promise much but face early-stage challenges. Key gaps exist between marketing claims and actual performance. Context awareness is crucial for effectiveness. Major tech companies like Microsoft and Google benefit from integration with existing ecosystems. However, teams experience issues such as debugging efforts outweighing productivity gains and inconsistent performance. Coding is only a fraction of developers’ tasks; human expertise remains vital for decision-making. The future aims for context-aware, integrated solutions that enhance productivity, with AI tools viewed as assistants rather than replacements.

https://devops.com/reality-check-current-state-of-ai-code-generation-tools/

Cursor – The AI Code Editor

Cursor is an AI code editor designed for productivity, featuring predictive editing, codebase awareness, and natural language coding. It is trusted by top engineers, boasting a significant improvement over competitors like Copilot. Users praise its smart autocomplete, multi-line editing, and seamless integration of existing extensions. Cursor emphasizes privacy by not storing code remotely.

https://www.cursor.com/

JetBrains Launches Junie, a New AI Coding Agent for Its IDEs

JetBrains has launched Junie, an AI coding agent for its IDEs, capable of managing routine development tasks and understanding project context. Junie solves 53.6% of 500 common developer tasks, with promising integration in JetBrains environments. It aims to enhance code quality while keeping the developer in control. Currently in early access, it supports Linux and Mac on specific IDEs, with broader availability expected soon.

https://techcrunch.com/2025/01/23/jetbrains-launches-junie-a-new-ai-coding-agent-for-its-ides/

7 Top Free AI Coding Tools

Summary: 7 Top Free AI Coding Tools

AI coding tools improve coding efficiency through machine learning, assisting with code completion, generation, debugging, and testing. Key tools include:

  1. Qodo – Real-time code suggestions and debugging.
  2. Amazon CodeWhisperer – Cloud integration, intelligent code recommendations.
  3. Ponicode – Automated unit testing and code analysis.
  4. IntelliCode – Context-aware coding practices from open-source projects.
  5. YOGI Bot – AI chatbot for coding help and explanations.
  6. CodeT5 – Code generation and translation assistance.

AI tools streamline workflows, reduce coding errors, improve quality, and enhance collaboration, making them valuable for developers at all levels.

https://www.artificialintelligence-news.com/news/7-top-free-ai-coding-tools/

The Second Wave of AI Coding Is Here

Generative AI is revolutionizing coding, with tools like GitHub's Copilot assisting millions of developers in debugging and code generation. Major companies, including Google, report significant AI involvement in code creation. New startups aim to enhance generative coding tools to prototype, test, and debug code, reshaping developers' roles from coding to management. While early tools focus on syntax correctness, new models aspire to understand the logic behind programming to ensure that software meets intended functions. Approaches vary, with some building on existing large language models, while others, like Merly, avoid them altogether to focus on logical coding representations. The evolving landscape suggests coding assistants will take on greater responsibilities, potentially reducing programmer headcounts, but leading to larger, more complex software systems reliant on AI. The ultimate goal across these innovations appears to be the pursuit of artificial general intelligence (AGI).

https://www.technologyreview.com/2025/01/20/1110180/the-second-wave-of-ai-coding-is-here/

Devin 1.2: Updated AI Engineer Enhances Coding With Smarter In-context Reasoning, Voice Integration

Devin 1.2, released by Cognition, enhances the AI engineering assistant with improved in-context reasoning and voice command integration via Slack. These updates enable better code handling, reduced manual errors, and accelerated workflows for developers. Usability enhancements include simplified login through machine snapshots and new enterprise account features. A usage-based billing model allows users to pay for additional capacity beyond their subscription. Devin is priced at $500/month and is being adopted by various enterprises. The AI coding assistant market is competitive, with advancements predicted to significantly alter software development by 2028.

https://venturebeat.com/ai/devin-1-2-updated-ai-engineer-enhances-coding-smarter-in-context-reasoning-voice-integration/

The Best AI for Coding in 2025 (and What Not to Use)

Best AI coding assistants for 2025 identified through 18 months of tests. Recommended: ChatGPT Plus and Perplexity Pro (both $20/month). Grok and ChatGPT Free are good free alternatives. Several tested chatbots, including Microsoft Copilot and Meta AI, failed to perform efficiently for coding tasks. Performance in coding varies widely across platforms. Improvements anticipated over time.

https://www.zdnet.com/article/the-best-ai-for-coding-in-2025-and-what-not-to-use/

AI Code Generation Redefining Coding, and Jobs, at Big Tech

AI is reshaping coding jobs in Big Tech, with companies automating coding tasks and laying off lower-performing employees while hiring for AI roles. Meta, Microsoft, and Amazon are examples of firms reducing staff while prioritizing AI talent. The shift towards AI is expected to redefine job roles, increase productivity, and emphasize the need for reskilling. As AI increasingly handles coding, human workers are anticipated to focus on creativity and complex tasks. AI proficiency will become essential, marking a two-track job market where AI skills enhance career prospects.

https://www.rdworldonline.com/ai-is-redefining-performance-standards-in-big-tech/

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