<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>AI Tools on TechNest</title><link>https://technest.social/ai-tools/</link><description>Recent content in AI Tools on TechNest</description><generator>Hugo</generator><language>en-US</language><lastBuildDate>Wed, 29 Jul 2026 22:02:46 +0000</lastBuildDate><atom:link href="https://technest.social/ai-tools/index.xml" rel="self" type="application/rss+xml"/><item><title>GitHub Copilot AI Credits Explained: Plan Limits and Cost Controls</title><link>https://technest.social/ai-tools/github-copilot-ai-credits-plan-limits-cost-controls/</link><pubDate>Wed, 29 Jul 2026 22:11:30 +0000</pubDate><guid>https://technest.social/ai-tools/github-copilot-ai-credits-plan-limits-cost-controls/</guid><description>What changed Since June 1, 2026, GitHub Copilot’s AI-heavy features use GitHub AI Credits. GitHub converts token costs for input, output, and cached context into credits at a fixed rate of one credit per $0.01. Code completions and Next Edit suggestions remain included, while chat, agent work, and other model interactions draw from the monthly allowance. Copilot code review can also consume GitHub Actions minutes in addition to AI credits. These rules come from GitHub’s announcement and current billing documentation.</description></item><item><title>GPT-5.6 Sol vs Terra vs Luna: A Practical API Model Selection Guide</title><link>https://technest.social/ai-tools/gpt-5-6-sol-vs-terra-vs-luna-api-guide/</link><pubDate>Wed, 29 Jul 2026 17:29:22 +0000</pubDate><guid>https://technest.social/ai-tools/gpt-5-6-sol-vs-terra-vs-luna-api-guide/</guid><description>OpenAI’s GPT-5.6 API family presents a simple headline choice: Sol for maximum capability, Terra for balance, and Luna for economical volume. The concrete numbers make the trade-off more useful. Sol costs five times as much as Luna at the published input and output rates, yet some launch benchmarks show only a modest gap between the three tiers. Other evaluations—especially very long-context recall—show a much larger separation.
Prices, specifications, and benchmark tables in this guide were rechecked on July 29, 2026.</description></item></channel></rss>