Hey readers! 👋 This week we’re diving into the fascinating disconnect between perceived and actual productivity with AI coding tools—while 75% of developers report feeling more productive, objective measurements show they’re actually 19% slower with more duplicated code. 🧠 Let’s explore why our AI coding assistants might be giving us a false sense of speed and what metrics like “intervention rates” could teach us about truly optimizing our AI workflows.
This Week’s Highlights 🌟
Google Gemini CLI Cheatsheet — A comprehensive reference guide for using Google’s open-source AI terminal agent, covering installation, authentication, and advanced features. Philipp Schmid
Warp 2.0 — The latest version introduces a 2.5x increase in AI limits for paid plans with enhanced coding agents and collaboration features. Warp Team
The AI Coding Revolution Just Hit a Reality Check 🤖 — Despite 75% of developers reporting increased productivity with AI tools, objective measurements show a 19% decrease in speed and concerning rises in duplicated code. Sreeved Vp
Kimi K2 vs Qwen-3 Coder: Testing Two AI Models on Coding Tasks — Kimi K2 outperformed Qwen-3 Coder with a 93% success rate versus 47% in real-world Rust and React coding tasks, suggesting benchmark scores may not reflect actual development effectiveness. Forge Code
AI Coding Tools & Assistants 🛠️
You Can Now Disable All AI Features in Zed — Zed now allows users to completely turn off all AI functionality in response to privacy concerns and organizational policies. Zed Blog
Alibaba QWEN 3 Coder — This open-source AI coding assistant features 480 billion parameters and can process up to 1 million tokens, aiming to outperform proprietary models like GPT-4.1. Geeky Gadgets
Changelog - Augment Code — July 2025 updates include the new ‘Tasklist’ feature for breaking down complex problems, improved VS Code and JetBrains integrations, and customizable ‘Augment Rules’. Augment Code
Research & Insights 🔍
Why Context-Aware AI Is Quickly Replacing Code-Only Tools — Context-aware AI tools that understand project workflows are outperforming traditional code-only assistants by providing tailored recommendations based on project goals and structures. The New Stack
AI Is Testing AI-Generated Code: Should You Trust It? — With over 30% of code at major companies now AI-generated, organizations are exploring AI-powered testing solutions to validate both AI and human-written code. The New Stack
Measuring the impact of AI on software engineering — Laura Tacho shares insights from research with 180+ companies, emphasizing that teams often misunderstand AI effectiveness and overlook measuring developer experience before implementation. Gergely Orosz
8 AI Code Models Benchmarked: LMC-Eval in 2025 — AIMultiple Research introduces a new benchmark evaluating top AI models on 100 logical coding problems requiring both coding skills and reasoning. AIMultiple
Intervention Rates Are the New Build Times — Chad Metcalf explains how measuring AI intervention rates (how often developers need to correct AI tools) can improve workflow efficiency, with one developer achieving a 12.5% gain. Continue Blog
Practical Guides & Tutorials 👨💻
How to build an app with AI Agent: 5x faster with Refact.ai — A developer shares how Refact.ai helped build fitness and breathwork apps 5x faster, even when working with unfamiliar technologies like pose detection and blockchain. by Small Magellanic Cloud Ai Ltd. Small Magellanic Cloud Ai Ltd.
AI Coding Tools: Avoid Misuse for Bug-Free Efficiency — Experts recommend precise prompt engineering, breaking tasks into smaller chunks, and regular audits to enhance AI effectiveness in coding. by WebProNews WebProNews
Developer Walk-Through of Aider, an Open Source Agentic CLI — A detailed review of Aider, an open-source CLI for pair programming with LLMs, noting its git integration but outdated feel compared to newer alternatives. by The New Stack The New Stack
What is AI code-generation? — IBM explains how AI code-generation software uses generative AI to streamline development through text prompts, code modernization, and language translation. by IBM Education IBM Education
5 AI Tools I Wish I’d Had as a Developer — Now in 2025 — A developer highlights GitHub Copilot, Google Gemini Code Assist, Cursor with Bugbot, Claude 4, and Tabnine/Amazon Q as transformative tools for modern development. by FireXCore FireXCore
Podcasts & Media 🎙️
Google AI: Release Notes — Logan Kilpatrick hosts in-depth discussions with AI pioneers about Google’s latest advancements, including Search evolution and Gemini’s multimodal capabilities. *by Google AI* Google AI
People of AI podcast Season 5 — The new season focuses on AI builders, featuring insights from experts like Clement Farabet and exploring projects like the first AI-made movie, ANCESTRA. *by Google Developers Blog* Google Developers Blog
Everyday AI Podcast — Jordan Wilson’s daily livestream and podcast covers AI trends, software applications, and practical tips for career enhancement. *by Everyday AI* Everyday AI
Agentic AI in Action — This podcast explores integrating human expertise with intelligent automation to enhance AI-driven projects and go-to-market strategies. *by Landbase* Landbase
5 Best AI Coding Tools Developers Can Rely On — With 91% of developers using AI-assisted coding, this article highlights GitHub Copilot, Google Gemini Code Assist, AutonomyAI, Tabnine, and Cursor AI. by Coruzant Coruzant
Top 10 Best AI Models & Tools For Coding (2025) — The article outlines top AI models like Claude 3.5 Sonnet and GPT-4o alongside tools like Dualite Alpha and Cursor for enhancing coding workflows. by Dualite Dualite