<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Concurrency on The Coders Blog</title><link>https://thecodersblog.com/tag/concurrency/</link><description>Recent content in Concurrency on The Coders Blog</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Tue, 05 May 2026 15:19:07 +0000</lastBuildDate><atom:link href="https://thecodersblog.com/tag/concurrency/index.xml" rel="self" type="application/rss+xml"/><item><title>Is Async Rust Stuck in MVP Mode?</title><link>https://thecodersblog.com/async-rust-s-development-status-2026/</link><pubDate>Tue, 05 May 2026 15:19:07 +0000</pubDate><guid>https://thecodersblog.com/async-rust-s-development-status-2026/</guid><description>&lt;p&gt;The moment you hit a &lt;code&gt;panic&lt;/code&gt; in a carefully crafted &lt;code&gt;async fn&lt;/code&gt; on a tiny embedded system, you start to wonder. Was this power worth the complexity? For many, Async Rust, despite its immense promise, still feels like a sophisticated Minimum Viable Product, a powerful tool that demands an almost surgical understanding of its inner workings, especially when resources are scarce.&lt;/p&gt;
&lt;h2 id="the-core-problem-async-bloat-and-its-shadow"&gt;The Core Problem: Async Bloat and Its Shadow&lt;/h2&gt;
&lt;p&gt;The fundamental tension with Async Rust lies in its &amp;ldquo;bloat.&amp;rdquo; Every &lt;code&gt;async fn&lt;/code&gt; essentially translates into a state machine. For I/O-bound tasks and systems with ample memory, this is often manageable, even imperceptible. But for microcontrollers and other resource-constrained environments, this generated overhead can be crippling.&lt;/p&gt;</description></item></channel></rss>