Workshops: Creating AST Plugins for Pylint

Training Description

The training focuses on practical aspects of creating custom plugins for the Pylint tool using Abstract Syntax Tree (AST) analysis. The program covers deep understanding of AST structure in Python, code analysis techniques, and implementation of custom quality control rules. Through workshops, participants learn to design and implement advanced plugins that extend static code analysis capabilities. Classes are conducted in practical format with emphasis on independent solution development.

Participant Profile

The training program is intended for:

• Experienced Python developers

• Code quality engineers

• Development tools developers

• Technical leaders of Python teams

• Static code analysis specialists

• Software architects

• People responsible for code quality

• DevOps Engineers working with CI/CD pipelines

Agenda

• AST analysis basics

• Syntax tree structure

• AST inspection tools

• Node types and relationships

• Tree navigation techniques

• Pylint plugin design

• Plugin system architecture

• Defining custom checkers

• Implementing analysis rules

• Configuration handling

• Advanced analysis techniques

• Data flow analysis

• Pattern detection in code

• Performance optimization

• Handling special cases

• Testing and deployment

• Plugin testing strategies

• CI/CD pipeline integration

• Documentation and distribution

• Best practices

Benefits

After completing the training, participants will be able to independently create advanced plugins for the Pylint tool. They will gain deep understanding of AST structure and analysis in Python. They will learn to design and implement custom code quality control rules. They will master plugin optimization and testing techniques. They will be able to integrate their own solutions with existing CI/CD pipelines. They will learn methods for documenting and distributing plugins. They will gain practical skills in static code analysis.

Required Participant Preparation

• Advanced knowledge of Python

• Experience in creating development tools

• Knowledge of static analysis basics

• Basic knowledge of design patterns

Topics

• Syntax tree analysis

• Pylint architecture

• Plugin design

• Static analysis

• Performance optimization

• Plugin testing

• CI/CD integration

• Technical documentation

• Design patterns

• Data flow

• Quality control

• Package distribution

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Frequently Asked Questions

What is an AST plugin for Pylint and why would I need one?

An AST (Abstract Syntax Tree) plugin for Pylint is a custom code analysis rule that inspects the structure of Python source code to enforce project-specific quality standards. You need custom plugins when built-in Pylint rules do not cover your team’s coding conventions or domain-specific patterns.

What level of Python experience is required for this workshop?

The workshop requires advanced Python knowledge and some experience with development tools. Participants should be comfortable with Python’s object model, decorators, and design patterns, as the training dives into syntax tree analysis, data flow techniques, and plugin architecture.

Can custom Pylint plugins be integrated into CI/CD pipelines?

Yes, one of the workshop modules covers CI/CD pipeline integration specifically. Custom plugins can be packaged and distributed as Python packages, then configured to run automatically in continuous integration workflows to enforce code quality standards on every commit.

How do custom Pylint plugins improve code quality compared to default rules?

Custom plugins allow teams to enforce organization-specific coding standards, detect domain-specific anti-patterns, and automate checks that would otherwise require manual code review. This leads to more consistent codebases and catches project-specific issues that generic linting rules cannot identify.