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Factored

Coding Best Practices


Write better code, faster. Master the principles, patterns, and practices that make software clean, reliable, and ready for production.

About This Course

Most developers learn to write code that works. This course teaches you to write code that lasts. Across 11 modules, you will build a complete mental model of what it means to produce professionalgrade code from the smallest naming decision to the architecture of distributed systems that stay alive under failure.

You will start with the foundations: the principles that separate maintainable code from a maintenance nightmare. DRY, KISS, YAGNI, and clean naming conventions are not abstract ideals they are daily decisions that compound over time. From there, you move into documentation, security, and performance, learning how to write code that communicates clearly, handles sensitive data responsibly, and runs efficiently at scale.

The middle modules cover the craft of software design: recognizing code smells before they become technical debt, applying design patterns that solve real structural problems, and following the style guides that make teams move faster together. You will also go deep on version control and code review the collaboration layer that determines whether a team ships confidently or lives in fear of merging.

The final modules address what most courses skip entirely: what happens after the code ships. You will learn how to write tests that actually catch bugs, build systems that recover from failure automatically, handle errors in ways that make production debugging tractable, and integrate with external APIs and services without creating fragile chains of dependencies.

By the end of this course, you will not just know more you will think differently about the code you write and the systems you build. You will be the engineer who spots the reliability risk in a design review, writes the test that catches the edge case, and builds the pipeline that keeps running on a Saturday night without anyone's intervention.

Requirements

  • Basic Python programming experience
  • Familiarity with writing and running scripts
  • No prior knowledge of software design or architecture required

Course Staff

Factored Training Team

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