<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Software Reliability on The Coders Blog</title><link>https://thecodersblog.com/tag/software-reliability/</link><description>Recent content in Software Reliability on The Coders Blog</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sat, 09 May 2026 03:28:31 +0000</lastBuildDate><atom:link href="https://thecodersblog.com/tag/software-reliability/index.xml" rel="self" type="application/rss+xml"/><item><title>Can LLMs Model Real-World Systems in TLA+?</title><link>https://thecodersblog.com/llms-modeling-real-world-systems-in-tla-2026/</link><pubDate>Sat, 09 May 2026 03:28:31 +0000</pubDate><guid>https://thecodersblog.com/llms-modeling-real-world-systems-in-tla-2026/</guid><description>&lt;p&gt;The tantalizing prospect of artificial intelligence assisting in the rigorous design and verification of complex software systems has moved from science fiction to the forefront of engineering discussions. For decades, TLA+ (Temporal Logic of Actions) has stood as a bastion of formal methods, offering a precise language for specifying and verifying distributed systems. However, its steep learning curve and the meticulous nature of crafting specifications have historically limited its widespread adoption. Now, Large Language Models (LLMs) are entering this domain, promising to democratize formal verification. But can these sophisticated text generators truly model the intricate dance of real-world systems in TLA+, or are we merely witnessing a high-tech parlor trick?&lt;/p&gt;</description></item></channel></rss>