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CHEAPUNO guide
Does your AI coding tool handle specific language idioms well?
Use targeted linters to verify if your AI coding assistant respects language-specific conventions and architectural boundaries.
Spotlight
PAGE: https://alison.com/course/introduction-to-google-go-programming
PROMISE: Understand Go syntax fundamentals before writing linters for specific idioms
WHO: Beginners who need a foundational understanding of Go syntax
WHYNOW: You are trying to decide whether your AI coding tool handles specific Go idioms well
DESC: Learn to code with Google Go in this computer science course that trains you to use this versatile but simple programming language to create powerful apps.
BEFORE: Struggling to understand basic Go syntax
BEFORE: Relying on trial and error for environment setup
BEFORE: Unable to distinguish where Go idioms need external linters
AFTER: Understand core Go syntax and how to use standard libraries
AFTER: Set up local environment with confidence
AFTER: Know which areas need additional linters for idiomatic checks
GAIN: Grasp how to declare variables and constants correctly
GAIN: Learn to set up and work with the Go local environment
GAIN: Understand basic Go function and constructor patterns
STEP: Unclear how to set up the environment for Go on a local machine || Explain how to set up the local environment in Go || Know how to configure a local Go environment without relying on trial and error
STEP: Confused about variable declarations and constants in Go syntax || Analyse the environment in Go and identify how to declare variables and constants || Write valid Go declarations and stop making syntax errors when defining variables
STEP: Unsure how to build basic functions and constructors in Go || Explain how to create function constructors in Go || Structure Go functions properly and identify where linters might catch issues
NOTFOR: Experienced Go developers needing deep linter configuration
NOTFOR: Programmers already fluent in Go who just want linter tips
FACT: Average duration: 1.5-3 Hours (Contains Video)
FACT: CPD-accredited certificate available
FACT: Beginner level
COVERS: List the characteristics of Go and the benefits of using the Go language
COVERS: Recognise the different libraries that you can use in Go
COVERS: Describe how to use the built-in editor in golang.org to kickstart Go
COVERS: Analyse the environment in Go and identify how to declare variables and constants
COVERS: Discuss the Go programming language basics
COVERS: Explain how to set up the local environment in Go
COVERS: Identify how to use structs in Go
COVERS: Evaluate types and how to cast from one type to another
COVERS: Identify how to publish and consume JSON from a web server
COVERS: Explain how to create function constructors in Go
COVERS: State how to provide polymorphic functionality
COVERS: Describe how to do object composition
MODULE: Introduction to Go Programming and the Go Language || Introduction to Go Programming | Go Programming Language Basics | Go Programming Language Data Types
MODULE: Advanced Concepts in GO Programming || Go Language Advanced Topics | Readwrite and Jsonpublisher | Concurrency in the Go Language
What you are probably seeing
Your codebase contains Go boilerplate that makes human review slower and creates noise in AI-generated diffs.
You see the AI assistant producing idioms that are syntactically correct but structurally weak across your Go and JavaScript stack.
Why it happens
AI models often optimize for generic patterns and miss the specific stylistic rules that keep a polyglot project maintainable.
Architecture rules that connect different language environments are not always in the training data, so custom checks are needed to enforce them.
General purpose linters catch syntax errors but do not enforce the unique architectural constraints of your specific product setup.
What changed recently
Step by step
1. Identify one specific language idiom that frequently appears in your code and is likely to be mishandled by AI.
2. Write or configure a custom linter rule using a tool like goja to check for that specific pattern.
3. Run the linter on recent AI-generated code to see if the specific idiom is missing or implemented incorrectly.
4. Compare the linter output with the AI tool’s confidence score to determine if the tool needs better prompting or external validation.
5. Integrate the custom linter into your CI pipeline to catch architectural drift before code is merged.
Ways to go further
Start here: Introduction to Google Go Programming For when you need to understand Go syntax. Open the free course on Alison ↗
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