FIT3228 · Agentic software engineering in practice: Project 2

Overview

This unit is the capstone unit in the Agentic Software Engineering practice stream and, for most students, the final stage of the Monash IT Industry Practice Program. You will make a substantial individual contribution to a student-led company through real software projects, products or services involving contemporary software engineering, AI-assisted development, autonomous workflows or agentic system components. At this stage, you are expected to operate with professional independence, contribute to company direction and outcomes, and demonstrate readiness for industry or further study. You will take responsibility for your own professional and academic development, shape the evidence you need to demonstrate capability, and contribute to the sustainability of the company through software delivery, engineering practices, technical leadership, mentoring, process improvement, stakeholder engagement or product development. As this unit is an exit point from the practice stream for most students, you will also help ensure that the company is well positioned to continue progressing the software and agentic systems work you have been engaged with. This may include documenting design decisions, improving engineering workflows, preparing handover materials, supporting continuity of project knowledge, mentoring successors, strengthening team practices, and identifying next steps for the company’s products, services or projects. You will prepare a showcase portfolio that presents evidence of your capability, achievements, professional growth and individual contribution. This portfolio will support reflection on your development across the practice program and provide a curated record of your work that can be used when applying for industry roles, placements, graduate opportunities or future study. Your work will require you to apply software engineering and agentic systems practices with judgement, including attention to safety, assurance, reliability, maintainability, governance, security, privacy, ethics, project constraints and stakeholder needs. Assessment is centred on an individual evidence-based portfolio that demonstrates your contribution, capability, judgement, growth, readiness for professional practice, and contribution to the ongoing sustainability of company work.

Offerings

The Handbook publishes no offerings for this unit.

Assessment

The Handbook publishes no assessment items for this unit yet.

Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.

Requisites

Learning outcomes

1. Apply responsible software engineering and agentic systems practices by addressing security, privacy, ethical, social good, accessibility, sustainability and stakeholder impact considerations in company project work;
2. Direct your professional and academic development through self-assessment, targeted development planning, feedback response and evidence-based reflection, preparing a showcase portfolio that communicates your capability, achievements and readiness for industry or further study;
3. Communicate software engineering and agentic systems concepts, technical decisions, progress, risks, evidence and outcomes clearly to technical and non-technical stakeholders using appropriate professional forms;
4. Plan, coordinate and sustain company software work by managing tasks, risks, dependencies, quality expectations and handover processes, collaborating across teams to position products, services or projects for continued progress beyond your contribution;
5. Investigate complex software and agentic systems problems, evaluate alternative approaches and justify defensible solutions using evidence, experimentation and professional judgement;
6. Apply contemporary digital, data, programming and design practices to develop, adapt, test, document and evaluate software system elements, workflows or components that meet stakeholder needs and project constraints;
7. Select, apply and critically evaluate software engineering, AI-assisted development and agentic systems practices across the lifecycle, including requirements, design, implementation, verification, deployment, maintenance, assurance and responsible operation.

Workload

No workload detail published.

Student experience, not official rules. Nothing here changes what the Handbook says.