2026 WORKFLOW: FROM CODING TO FORENSIC ENGINEERING
A recent video argues engineers should shift from hand-writing code and tests to orchestrating AI-generated changes and rigorously validating them. The proposed...
A recent video argues engineers should shift from hand-writing code and tests to orchestrating AI-generated changes and rigorously validating them. The proposed workflow centers on executable specs, golden/contract tests, and telemetry-driven verification to catch regressions before merge and in production.
Teams will need stronger verification, observability, and policy gates to safely use AI-generated code.
Responsibilities shift toward test design, data/trace analysis, and change validation, affecting staffing and tooling.
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terminal
Pilot AI-assisted test generation on one service and measure defect escape rate, PR cycle time, and review load vs baseline.
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terminal
Add canary + rollback + perf/data-quality checks for AI-authored PRs and track incident rates and SLO impacts.
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