The final level represents multiple autonomous agents collaborating on projects, each specialising in different aspects of software delivery. This level represents a fundamental rethinking of software development, with agentic AI teams delivering alongside human teams. As above, given current tech, it’s not possible to achieve this level without human supervision and direction, so we consider it experimental.
schwentkerr · 9h ago
summary
ai eng moving from autocomplete → autonomous agents, w/ build-time agents giving biggest near-term gains
reflection
shift = coding less, defining problems & orchestrating more, like managing a fast but literal junior dev
question
how do teams redesign review & governance so 3x output ≠ 3x risk?
paradox
more automation → more need for human foresight, context & constraint-setting
prediction
within 2y, top eng teams treat prompt-driven dev as default & code review as the new bottleneck
The final level represents multiple autonomous agents collaborating on projects, each specialising in different aspects of software delivery. This level represents a fundamental rethinking of software development, with agentic AI teams delivering alongside human teams. As above, given current tech, it’s not possible to achieve this level without human supervision and direction, so we consider it experimental.
reflection shift = coding less, defining problems & orchestrating more, like managing a fast but literal junior dev
question how do teams redesign review & governance so 3x output ≠ 3x risk?
paradox more automation → more need for human foresight, context & constraint-setting
prediction within 2y, top eng teams treat prompt-driven dev as default & code review as the new bottleneck