# Agentic Engineering Delivery Stack

> A practical engineering stack for scoped agent-assisted delivery, reviews, tests, and accountable production releases.

- Canonical: https://gptnavi.com/stacks/agentic-engineering-delivery-stack
- Estimated monthly cost: $40-$600/engineer/month
- Last materially updated: 2026-08-19
- Best for: Engineering teams, Technical founders, Product engineers, Startups

## Problems this stack solves

- Backlog-to-code delay
- Unclear implementation scope
- Thin test coverage
- Review bottlenecks
- Agent overreach

## Recommended tools

### Work definition

Recommended: Linear, Notion

Why: Keep outcomes, acceptance criteria, risks, and non-goals explicit before any agent changes code.

### Primary coding agent

Recommended: Codex, Windsurf

Why: Use one primary agent to plan and implement contained changes with codebase context.

### Second implementation pass

Recommended: Devin, GitHub Copilot

Why: Use a second agent for scoped tests or independent review rather than blindly duplicating work.

### Release control

Recommended: Vercel, PostHog

Why: Deploy through a reviewable environment and watch behavior after release.

## Beginner setup plan

1. Start with low-risk bug fixes or tests.
2. Require an approved plan before agents edit code.
3. Keep changes small, reviewable, and tested.
4. Retain a human owner for merge and production release.

## Included workflows

- https://gptnavi.com/workflows/agentic-engineering-delivery-loop
- https://gptnavi.com/workflows/product-idea-to-coding-feature-spec
- https://gptnavi.com/workflows/ai-product-release-control-plane
- https://gptnavi.com/workflows/api-to-ai-operations-workflow