NEOPOLIS AKADEMY
AI-Assisted Coding for Developers
Master AI-assisted development: effective prompting, assisted debugging, documentation generation, testing strategies and secure workflows. The course includes prudent model use and local Projector media for sequential interactive exercises.
View this course on Akademy ↗Enrolment and practical details are available on Neopolis Akademy.
What you will explore
Prompting and reformulation techniques to produce relevant, readable code.
AI-assisted debugging: interpreting suggestions, validating fixes and correcting bugs.
Documentation generation and commenting: templates, conventions and clarity for team use.
Testing integration and secure workflows: automated test scenarios, secret handling and selecting appropriate models.
STEP BY STEP
Course programme
01AI-Assisted Coding for Developers
Principles and practices for integrating AI into day-to-day development: matching models to tasks, prompt engineering for debugging and documentation, building robust AI workflows and safeguards for responsible coding.
Overview of the AI-assisted coding paradigm, how to align models with tasks, classify AI workloads and core prompt engineering concepts.
Advanced prompt engineering methods tailored for coding: prompts for efficient debugging, crafting role definitions and using AI to generate code documentation.
Designing AI workflows for code: choosing the right AI tool per job, understanding assistant cost trade-offs and reasoning model trade-offs, and implementing operational safeguards.
Explore this module on Akademy ↗Programme source: Neopolis Akademy. Original course page