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@ThePracticalDev
17m
What if an AI agent never had to leave the browser? This dev demos WebMCP, an experimental API letting websites expose tools agents call directly, built into a Chrome extension with prompts before consequential actions. { author: @SylwiaLask8977 }
What If Your AI Agent Never Had to Leave the Browser? (Demo 🚀)
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DEV Community
@ThePracticalDev
11h
Two new Gemini models built for voice first apps: 3.8 Live for real time conversational reasoning, and 3.5 Transcribe for streaming speech to text across 85+ languages. This dev covers deploying both. { author: @thorwebdev + @GoogleAI }
Build real-time voice applications with Gemini 3.8 Live and 3.5 Transcribe
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1
DEV Community
@ThePracticalDev
14h
Realistic load does not come from hammering a single endpoint. This dev lays out designing performance tests around actual user workflows, from setting expected load to reading percentiles and resource use instead of averages. { author: @dbalcare }
API Performance Testing: How to Design Realistic Tests
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DEV Community
@ThePracticalDev
19h
Cloud inference is not the only option for AI agents. This dev swaps it for a locally running Gemma 4 model on Docker Model Runner, keeping the same ADK framework while handling function calling limits. { author: Mazlum Tosun + @GoogleDevExpert }
Running an AI Agent Locally: ADK, Gemma 4, and Docker Model Runner
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DEV Community
@ThePracticalDev
Sep 23
Clean code and clear code are not the same thing, and comments were never the real problem. This dev makes the case for comments that explain a magic number, warn of consequences, and record reasoning git history misses. { author: @georgekobaidze }
Clean Code Is Not the Same as Clear Code: Comments Were Never the Problem
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2