<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Open-Source on danilchenko.dev</title><link>https://www.danilchenko.dev/tags/open-source/</link><description>Recent content in Open-Source on danilchenko.dev</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Wed, 20 May 2026 08:20:45 +0000</lastBuildDate><atom:link href="https://www.danilchenko.dev/tags/open-source/index.xml" rel="self" type="application/rss+xml"/><item><title>AI Bug Bounty in 2026: 76% More Reports, Programs Shutting Down</title><link>https://www.danilchenko.dev/posts/ai-bug-bounty-crisis/</link><pubDate>Wed, 20 May 2026 08:20:45 +0000</pubDate><guid>https://www.danilchenko.dev/posts/ai-bug-bounty-crisis/</guid><description>HackerOne paused payouts, Curl quit its bounty, Linux&amp;#39;s security list is unmanageable. The AI vulnerability flood and the zero-days buried in the noise.</description></item><item><title>DeepSeek V4 Pro Review: 80% SWE-bench at 1/7th Claude's Price</title><link>https://www.danilchenko.dev/posts/deepseek-v4-pro-review/</link><pubDate>Sat, 09 May 2026 08:30:04 +0000</pubDate><guid>https://www.danilchenko.dev/posts/deepseek-v4-pro-review/</guid><description>DeepSeek V4 Pro scores 80.6% on SWE-bench Verified at $1.74/M input tokens — 7x cheaper than Claude Opus 4.7. Real benchmarks, costs, and safety gaps.</description></item><item><title>GitHub's AI Agent Problem: 17 Million PRs, Five Outages, and a Kill Switch</title><link>https://www.danilchenko.dev/posts/2026-04-11-github-ai-agents-pull-requests/</link><pubDate>Sat, 11 Apr 2026 06:00:00 +0000</pubDate><guid>https://www.danilchenko.dev/posts/2026-04-11-github-ai-agents-pull-requests/</guid><description>AI agents pushed 17 million pull requests to GitHub last month. The platform buckled with five outages in two days and shipped a kill switch to disable PRs.</description></item><item><title>MemPalace Review: The 100% Score Was Fake. 96.6% Is Real.</title><link>https://www.danilchenko.dev/posts/2026-04-10-mempalace-review-ai-memory-system-milla-jovovich/</link><pubDate>Fri, 10 Apr 2026 06:00:00 +0000</pubDate><guid>https://www.danilchenko.dev/posts/2026-04-10-mempalace-review-ai-memory-system-milla-jovovich/</guid><description>MemPalace&amp;#39;s 100% LongMemEval claim was hand-tuned. The real 96.6% score still beats Mem0 and Zep for free. Honest verdict after running the benchmarks.</description></item><item><title>How to Run Gemma 4 Locally With Ollama, llama.cpp, and vLLM</title><link>https://www.danilchenko.dev/posts/2026-04-07-run-gemma-4-locally-ollama-llama-cpp-vllm/</link><pubDate>Tue, 07 Apr 2026 06:00:00 +0000</pubDate><guid>https://www.danilchenko.dev/posts/2026-04-07-run-gemma-4-locally-ollama-llama-cpp-vllm/</guid><description>Step-by-step guide to running Google Gemma 4 locally on your hardware with Ollama, llama.cpp, and vLLM — including model picks, VRAM requirements, and real gotchas.</description></item></channel></rss>