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    <title>DEV Community: Ashish Kumar</title>
    <description>The latest articles on DEV Community by Ashish Kumar (@ashish_kumar_37659fa48ff9).</description>
    <link>https://dev.to/ashish_kumar_37659fa48ff9</link>
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      <title>DEV Community: Ashish Kumar</title>
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      <title>5 AI Trends That Actually Matter in 2026 (From Someone Who Tracks This Daily)</title>
      <dc:creator>Ashish Kumar</dc:creator>
      <pubDate>Sun, 22 Mar 2026 10:30:26 +0000</pubDate>
      <link>https://dev.to/ashish_kumar_37659fa48ff9/5-ai-trends-that-actually-matter-in-2026-from-someone-who-tracks-this-daily-4nel</link>
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      <description>&lt;p&gt;Been watching the AI space closely this year and there are 5 things that keep coming up in every conversation I have with other devs. Figured I'd share what I'm seeing.&lt;/p&gt;

&lt;ol&gt;
&lt;li&gt;Multimodal is just expected now&lt;/li&gt;
&lt;/ol&gt;

&lt;p&gt;Remember when "AI" meant ChatGPT-style text chat? That feels ancient. Every major model now does text, images, audio, video. If your AI product can't handle at least 2 modalities, you're already behind. The interesting part is what this enables — tools that look at a screenshot and write code, or listen to a voice note and schedule a meeting. The applications are getting creative.&lt;/p&gt;

&lt;ol&gt;
&lt;li&gt;Open source is actually competitive now&lt;/li&gt;
&lt;/ol&gt;

&lt;p&gt;Llama 3 and Mistral are genuinely good. Like, I've been running local inference on some tasks and the output quality is surprisingly close to GPT-4 level. The cost difference is massive though — running your own model vs paying per API call adds up fast.&lt;/p&gt;

&lt;p&gt;I've been tracking the open vs closed debate pretty closely at &lt;a href="https://hashqy.com" rel="noopener noreferrer"&gt;https://hashqy.com&lt;/a&gt; if you want the specifics on which models win at what.&lt;/p&gt;

&lt;ol&gt;
&lt;li&gt;AI agents are shipping, not just demoing&lt;/li&gt;
&lt;/ol&gt;

&lt;p&gt;Last year every demo was "look what our agent can do in a controlled environment." Now I'm seeing actual products that use agents for real work. Coding assistants that make multi-file changes, support bots that handle complex tickets, research agents that synthesize information across dozens of sources.&lt;/p&gt;

&lt;p&gt;Some work. Some don't. The pattern I'm noticing: agents that have a tight feedback loop (like coding — it either works or it doesn't) are way ahead of agents that need to handle ambiguity.&lt;/p&gt;

&lt;ol&gt;
&lt;li&gt;Regulation is actually happening&lt;/li&gt;
&lt;/ol&gt;

&lt;p&gt;EU AI Act is live. US is slowly moving on federal rules. China has its own thing going. If you're building AI products, you can't ignore this anymore. The compliance costs are real.&lt;/p&gt;

&lt;ol&gt;
&lt;li&gt;People are rebuilding workflows, not just adding AI tools&lt;/li&gt;
&lt;/ol&gt;

&lt;p&gt;This is the shift I find most interesting. It's not "let me add an AI chatbot to my existing app" anymore. It's "let me rethink how this entire process works when AI is available." Research, writing, coding, customer support — the whole stack is being redesigned.&lt;/p&gt;

&lt;p&gt;The devs I know who are getting the most value aren't using AI as a helper tool. They're building their workflows around it from scratch.&lt;/p&gt;

&lt;p&gt;What trends are you all seeing that I missed? Always looking for new perspectives on where this is heading.&lt;/p&gt;

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