The talk walks the audience through the key software engineering challenges in the AIware era and outlines important research directions that could be taken to address them. Topics include

• Overview of software engineering challenges in AIware Era
• Challenge 1: Managing alignment data
• Challenge 2: Crafting effective prompts
• Challenge 3: Multi-generational software
• Challenge 4: Degree of controllability
• Challenge 5: Compliance and regulations
• Challenge 6: Limited collaboration support
• Challenge 7: Operation and semantic observability
• Challenge 8: Performance engineering
• Challenge 9: Testing under non-determinism
• Challenge 10: Siloed tooling and lack of processes

Brief overview of global intiatives and standrization efforts including CREATE SE4AI, SEMLA, BigCode, AI Alliance, OPEA, AIware, LLM4code, MSR, IEEE Agent Standard, AIBOM, AIwareBOM, LF Model Openness Framework, …