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Learn how to run an interactive agent loop with Antigravity SDK.
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A technical overview of automated base image updates on Cloud Run.
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Use these gcloud commands to configure a custom domain for a Cloud Run service with a managed SSL certificate and a HTTP-to-HTTPS redirect.
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Learn how to set up a hook in Gemini CLI that uses Ruff to format and sort imports in your Python code every time it modifies a file.
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A guide to the most promising Cloud Run sessions at Google Cloud Next 2026 in Las Vegas.
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Cloud Run's automated rebasing keeps your services patched against OS vulnerabilities with zero downtime and zero developer intervention.
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I decided to commit to writing more on this blog in 2026 because writing helps me think clearly, and I've not been doing it enough lately.
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A summary of my 2025 writing, focusing on Gemini CLI, Agent Development Kit, and Python data visualization.
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A prompt technique to stop Gemini CLI from rushing into implementation and instead discuss logic using annotated pseudo code.
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I used the newly released Gemini 3 to redesign a confusing sleep tracker chart.
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Through a process of debugging and exploration with Gemini CLI, I turned a binary data file into a visualization that truly tells the story of my workout.
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I wrote a language-agnostic script that creates a list of functions and classes in a codebase, improving Gemini CLI's ability to perform exploratory tasks and recognize existing code when implementing new functionality.
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Teach Gemini CLI to write executable, single-file Python scripts with an inline dependency block, a technique that lets you run scripts without having to run pip install first.
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I started with a binary .FIT file from my sports watch and used Gemini CLI to parse it, explore the data, and generate insightful plots about my run.
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Extend your ADK agent's capabilities by adding custom tools.
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Here are three keyboard shortcuts for the Gemini CLI that I use all the time.
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Learn how to set up a local agent development environment, create a new agent, and run the ADK web UI.
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A look at the inner workings of the Gemini CLI to understand how it learns about a codebase, from the initial snapshot to on-demand learning with tools, and how you can provide context by mentioning files with @.
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This week, I used the Gemini CLI to generate scripts, and write code.
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By transcribing and analyzing Gemini's podcast-style Audio Overviews, I uncovered a replicable five-phase framework that anyone can use to transform dense documents into conversational deep dives.