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For some industries and dev orgs, this will happen already in 2026. For others, it may take until 2030. A short list of key differences for …
For some industries and dev orgs, this will happen already in 2026. For others, it may take until 2030. A short list of key differences for whether orgs will reach that level soon or later: • How much
For some industries and dev orgs, this will happen already in 2026. For others, it may take until 2030. A short list of key differences for whether orgs will reach that level soon or later: • How much engineering context is codified, including the tribal knowledge • Enabling AI code/software review/verification/validation agents to govern and enforce policies, standards, architecture, and security • The maturity of automated tests and runtime verification, with data and environments that are very close to production • Observability, rollback mechanisms, and progressive rollout discipline • Trust in a well-established AI code governance layer that manages all of the above This is the direction. Between “AI wrote it” and “production-ready”, there will be an AI continuously learning SYSTEM that engineers will nurture to enable much higher velocity, without losing control and actually improving it. Human review won’t disappear. But reviewing every line, in every PR, will stop being the default.
Source: Itamar Friedman (X) | 2026-06-07