AI-Assisted Software Development: Practical Tools and Workflows

Short Course

AI-Assisted Software Development: Practical Tools and Workflows

Course Schedule	Duration (days)	Mode of Delivery	TGS Reference Number
6 and 7 January 2027 \| 9 am - 5.30 pm	2	Classroom Learning	TGS-2026065615

Course Overview

The era of relying solely on standard auto-complete in your code editor is over. To achieve maximum productivity, modern developers are moving straight to the terminal, leveraging powerful Agentic Command Line Interface (CLI) tools like Claude Code and Codex. This is a highly practical, hands-on course designed to fundamentally upgrade your daily development loop.

In this two-day course, you will learn how to integrate command-line AI agents directly into your repository. We will guide you through the complete feature lifecycle: starting with how to effectively create a robust Product Requirements Document (PRD) from raw business needs, and then teaching you how to translate that PRD into the precise, structured context an AI needs to autonomously scaffold full-stack applications. You will move beyond simple code snippets to commanding your CLI agent to perform multi-file feature additions, deep legacy code refactoring, and terminal-based debugging.

Crucially, speed without guardrails creates technical debt. Therefore, you will also learn how to prompt AI agents to write comprehensive end-to-end tests (using Playwright) and how to identify and patch the subtle security vulnerabilities commonly introduced during AI code generation (the “Vibe Coding Trap”). You will leave this course ready to build, test, and ship software at an unprecedented velocity.

Course Objectives

Upon completion of this course, participants will be able to:

Navigate and command Agentic Command Line Interface (CLI) tools (such as Claude Code or Codex) to execute multi-file edits, refactors, and codebase scaffolding directly from the terminal.
Create robust Product Requirements Documents (PRDs) and systematically deconstruct them into highly structured technical specifications that guide AI agents accurately.
Debug complex software issues by seamlessly feeding terminal error logs and stack traces back into CLI agents for immediate resolution.
Automate software quality assurance by instructing AI agents to generate comprehensive unit tests and robust Playwright end-to-end (E2E) tests.
Identify and mitigate AI-generated technical debt and security vulnerabilities by applying systematic code auditing and human-in-the-loop validation strategies.

Who Should Attend

Programmers and software engineers

Prerequisites

General diploma

Enquire

Funding Available

SkillsFuture Funding

Enhanced Training Support

SkillsFuture Credit

SFEC

PSEA

Instructors

Dr Lek Hsiang Hui

Course Fees

	Singapore Citizens		Singapore PRs	Enhanced Training Support for SMEs	International Participants
	39 years old or younger	40 years old or older	Singapore PRs	Enhanced Training Support for SMEs	International Participants
Full Course Fee	S$1,900.00	S$1,900.00	S$1,900.00	S$1,900.00	S$1,900.00
Less: SSG Grant Amount	S$1,330.00	S$1,330.00	S$1,330.00	S$1,330.00	-
Nett Course Fee	S$570.00	S$570.00	S$570.00	S$570.00	S$1,900.00
9% GST on Nett Course Fee	S$51.30	S$51.30	S$51.30	S$51.30	S$171.00
Total Nett Course Fee Payable, including GST	S$621.30	S$621.30	S$621.30	S$621.30	S$2,071.00
Less Additional Funding	-	S$380.00	-	S$380.00	-
Total Nett Course Fee Payable, including GST, after additional funding from the various funding schemes	S$621.30	S$241.30	S$621.30	S$241.30	S$2,071.00

Total nett course fee payable, including GST, after additional funding from various funding schemes.
Participants must fulfill at least 70% attendance and pass all assessment components to be eligible for SSG funding.
The applicable funding is for Singaporeans and Singapore PRs. This is subject to change and in accordance with SSG funding guidelines as of course commencement.
Please refer to our Terms and Conditions page for more information.

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