Building a Database Migration Agent
You've been there: a schema change lands in your inbox, and you need to generate migration files that won't crash production.
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Claude Code
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Claude Code
Python Fundamentals
MLOps & Infrastructure
Claude Code
Learn. Build. Deploy.
524 articles
Claude Code
Python Fundamentals
Python Type Hints and Static Analysis with mypy
Stop letting type bugs reach production. Learn Python type hints from variables to generics, configure mypy for static analysis, and use TypeVar, Protocol, and Callable to write flexible yet type-safe code.
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Edge ML Inference: Deploying Models on IoT Devices
You've trained a killer deep learning model - 95% accuracy, lightning-fast on your GPU cluster. Then reality hits: you need to run it on a Raspberry Pi at the edge.
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Building Custom Permission Modes for Claude Code
Claude Code ships with built-in permission modes — restricted, standard, unrestricted — but the reality of running AI in production is messier.
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gRPC vs REST for ML Inference APIs: When Protocol Overhead Kills Your Latency Budget
You just deployed a new text embedding model to production. Latency is 120ms for inference alone, but your API p99 is hitting 850ms.
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Test Coverage Strategies and Integration Testing in Python
Go beyond writing tests to building a testing strategy. Learn to measure coverage with pytest-cov, understand branch vs line coverage, write integration tests with real databases, and discover edge cases with property-based testing using Hypothesis.
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Building Custom GitHub Actions with Claude Code SDK
What if your GitHub Actions workflow could be intelligent? Not just run commands and check exit codes, but actually think through problems, suggest improvements, and adapt to your specific...
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pytest Fixtures, Parametrize, and Mocking
Level up your testing with pytest's most powerful features. Learn how fixtures manage setup and teardown, parametrize runs one test with many inputs, and mocking isolates your code from external dependencies.
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Serverless ML Inference: Lambda, Modal, and Scale-to-Zero
Here's the problem: you've trained a beautiful machine learning model, but now you need to serve it in production.
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Building a Cost Optimization Assistant with Claude Code
Cloud bills are a problem that only gets worse if you ignore them. Most teams throw dashboards at the problem—red flags, yellow warnings, maybe a Slack notification.
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