The World Needs More Software Engineers – Box CEO
6 hours ago
- #Workflow Automation
- #AI in Enterprise
- #Software Engineering
- AI increases engineer productivity, enabling previously non-viable software projects and diffusing demand across the economy, rather than reducing it.
- Key challenge for AI adoption is not connectivity but organizing data to provide precise context for agents, requiring significant infrastructure modernization.
- Determining when to use deterministic code vs. probabilistic AI involves trade-offs requiring deep technical understanding, making the field more technical.
- Startups have advantages in automating unstructured workflows (e.g., legal, accounting) where incumbents are often professional services firms, not software companies.
- Humans possess free ambient context (e.g., domain knowledge, unwritten decisions) that agents lack, necessitating workflow reengineering to deliver precise context to agents.