<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Developer Tools on NV Trends</title><link>https://blogs.nvtrends.com/tags/developer-tools/</link><description>Recent content in Developer Tools on NV Trends</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sun, 27 Sep 2026 03:41:34 +0000</lastBuildDate><atom:link href="https://blogs.nvtrends.com/tags/developer-tools/index.xml" rel="self" type="application/rss+xml"/><item><title>SpaceX to Acquire Cursor for $60B: What It Means for Tech</title><link>https://blogs.nvtrends.com/posts/2026/spacex-buys-cursor-60-billion-deal/</link><pubDate>Wed, 17 Jun 2026 02:43:43 +0000</pubDate><guid>https://blogs.nvtrends.com/posts/2026/spacex-buys-cursor-60-billion-deal/</guid><description>&lt;p&gt;SpaceX&amp;rsquo;s planned acquisition of Anysphere, the startup behind the AI-native code editor Cursor, for a reported $60 billion (approximately Rs. 5 lakh crore) represents an unprecedented convergence of deep-tech aerospace engineering and generative developer tooling. By absorbing one of the fastest-growing software platforms in Silicon Valley, SpaceX is turning software iteration speed into a primary competitive moat for space exploration and satellite communications.&lt;/p&gt;</description></item><item><title>Local AI for Coding: Can You Replace Claude and GPT in 2026?</title><link>https://blogs.nvtrends.com/posts/2026/local-ai-for-coding-guide/</link><pubDate>Tue, 16 Jun 2026 02:30:44 +0000</pubDate><guid>https://blogs.nvtrends.com/posts/2026/local-ai-for-coding-guide/</guid><description>&lt;p&gt;You can realistically replace Claude and GPT for roughly 80% to 90% of routine coding tasks in 2026 using open-weight models, but complete replacement remains impractical for high-level architectural design, massive repository refactoring, and multi-service debugging. For developers across India handling daily code generation, unit test creation, refactoring, and syntax lookups, running an optimized local model under your desk provides immediate latency benefits, absolute data confidentiality, and zero recurring subscription fees.&lt;/p&gt;</description></item><item><title>Setup GLM-5.2 with Aider on macOS: Full Guide</title><link>https://blogs.nvtrends.com/posts/2026/setup-local-coding-agent-macos/</link><pubDate>Sat, 13 Jun 2026 02:39:25 +0000</pubDate><guid>https://blogs.nvtrends.com/posts/2026/setup-local-coding-agent-macos/</guid><description>&lt;p&gt;To set up GLM-5.2 with Aider on macOS, install a local inference engine such as Ollama, download the GLM-5.2 weights, install Aider via pipx, and run the agent in your terminal using the command &lt;code&gt;aider --model ollama/glm-5.2&lt;/code&gt;.&lt;/p&gt;</description></item></channel></rss>