• Resilience and its types: Resilience helps individuals and organizations respond to challenges. Personal resilience is built through adapting when things don't go as planned and quickly adjusting. Technical resilience is achieved by mastering various tools and constantly switching with new ones. Organizational resilience is developed through flexibility and strong networks.
• In software industries: In fast-changing software industries, recognizing tech shifts and fostering learning, flexibility, and collaboration enhance resilience. Technology evolves in waves and patterns like the rise of the internet, mobile, cloud computing, and now AI, and understanding these cycles makes us more resilient.
• Building resilient culture in organizations: Organizational leaders need to enable adaptability, learning, and sustained performance during change. For example, when preparing for GDPR, teams showed curiosity, a growth mindset, willingness to change, and a collaborative spirit. Promoting a growth mindset, experimentation, fostering autonomy, and strengthening cross-functional collaboration contribute to a resilient culture.
• AI and resilience: AI can help enhance resilience by analyzing large data sets, automating tasks, and providing predictive insights, enabling organizations and employees to adapt, recover, and thrive.
• Personal resilience for developers: When faced with roadmap changes due to various reasons like funding or leadership changes, developers should hold work lightly, identify milestones for short-term accomplishment, stay flexible to hand off work, and be able to take on new work. They should also remember they get paid even when work is scrapped.
• Example in software companies: The Clubhouse app's popularity and Twitter's response with Twitter Spaces shows how one company's resilience and agility (like leveraging Periscope technology) can lead to the decline of another. Resilient companies are better equipped to respond to change and survive.