SagentLab Delivery System

Blueprint → Build → Harden.

A pragmatic delivery system that uses AI agents to move faster while keeping engineering ownership, architectural clarity, and compliance-ready discipline.

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Phase

Blueprint (Week 1–2)

Outcome mapping, risk assessment, architecture and data/security review.

Clarify the business outcomes and failure modes upfront.
Review architecture, data flows, and security posture before scaling implementation.
Define the definition of done and the evidence required to ship safely.

Phase

Build (Week 2–8+)

Weekly shipped increments. Agent-accelerated implementation with CI quality gates.

Ship visible progress every week with scoped increments.
Use agent workflows to accelerate coding, refactors, tests, and documentation.
Gate every change with automated checks, reviews, and regression signals.

Phase

Harden (Final 1–3 weeks)

Performance, security, observability, compliance readiness, runbooks.

Profile, tune, and protect critical paths before scaling rollout.
Instrument observability so on-call and audit questions have clear answers.
Write runbooks and operational practices that match real system behavior.

AI-Agent Guardrails

Fast execution, verified outcomes.

Every agent output is verified by tests and review.
Sensitive data policy and redaction rules are explicit, not implied.
Security scanning and dependency hygiene are part of the definition of done.
No merge without checks — discipline is enforced by the system.

Compliance-minded by design