Running Claude Code as the primary engineering surface for billable or production work, gated by deterministic validators rather than ad-hoc review.
How it works
The general "agentic delivery" framing puts an agent in the seat of a developer. The production qualifier sharpens that framing: the work is billable or shipped, and the quality bar is scripted rather than discretionary. An artifact moves through fixed gates that fail closed on a rule the agent did not author; the same gates run on every pass, regardless of which agent ran the work or how confidently it claims the work is done.
Why it matters
Deterministic gates are what let agentic work survive in a production setting where the cost of a regression is real. The trade-off is that the gates can only catch what they can articulate: a gate-passing artifact can still be wrong on a dimension no gate covers (taste, narrative coherence, novel problem framing), and for those the practice degrades back to human review. Authoring and maintaining the gate suite is also an engineering tax the agent's velocity has to earn back. Gates are necessary, not sufficient; the suite itself is shipped code that has to be versioned and updated as the codebase shifts.
In practice
A change runs through the same script of validators on every pass: the build, the prose rules, the citation check, the embargo scan. A failing gate blocks the artifact whether the agent or a human authored it; the decision to ship is mechanical, and the same decision repeats on a second run with identical inputs.
Related standards and prior art
- AWS Prescriptive Guidance: software delivery with agentic AI · continuously updated industry framing of agentic AI in software delivery
- InfoQ: From Prompts to Production - A Playbook for Agentic Development · 2026-02-11 independent editorial (Abhishek Goswami) framing deterministic vs nondeterministic gates, prompt drift as the primary production failure mode, and IaC-treatment of prompts for behavioral regression testing
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