<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>ML for Code on English AI Terms Dictionary</title><link>https://terms-en.ai-term-hub.com/en/tags/ml-for-code/</link><description>Recent content in ML for Code on English AI Terms Dictionary</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sat, 18 Jul 2026 11:44:44 +0000</lastBuildDate><atom:link href="https://terms-en.ai-term-hub.com/en/tags/ml-for-code/index.xml" rel="self" type="application/rss+xml"/><item><title>Programming by example</title><link>https://terms-en.ai-term-hub.com/en/terms/programming_by_example/</link><pubDate>Sat, 18 Jul 2026 10:11:46 +0000</pubDate><guid>https://terms-en.ai-term-hub.com/en/terms/programming_by_example/</guid><description>&lt;h2 id="definition">Definition&lt;/h2>
&lt;p>Programming by Example (PBE) is a paradigm in program synthesis where developers specify desired behavior through concrete input-output pairs rather than writing explicit code. The AI system analyzes these examples to infer the underlying function or transformation rule, generating executable code that satisfies the given specifications. This approach lowers the barrier to entry for software creation, allowing non-programmers to automate tasks like data cleaning or formatting. It relies heavily on search algorithms and constraint solving to find the most likely generalization from limited examples.&lt;/p></description></item></channel></rss>