Build an API Backend with AI Execution Map — Roadmap, Workflows & Tools

Step 1 of 9

Define what the backend must do

Requirements the backend build can start from.

Phase Define & Scope

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Workflow AI Product Requirements Workflow Turn a fuzzy business need into requirements a team can build from — interrogate the need into concrete requirements, shape them as user stories, and write the PRD. Resource Product Requirements Assistant Turn a rough feature idea into a structured requirement: problem statement, acceptance criteria, and what's explicitly out of scope. Tool System Prompt Generator Build structured system prompts from role, tone, constraints, and model target.

Step 2 of 9

Design the architecture

An architecture decided on its trade-offs and documented.

Phase Design

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Workflow AI Project Architecture Workflow Design a system's architecture on its real trade-offs instead of a confident diagram — put the model in an architect's seat, work the decisions one at a time, and write down the why. Resource Software Architect Role Prompt Make AI act as a software architect — system design, scalability, service boundaries, and trade-offs — instead of jumping straight to code. Tool Role Prompt Generator Generate expert role prompts — perspective, responsibilities, and decision criteria, not just "act as".

Step 3 of 9

Design the API contract

An API contract clients can build against.

Phase Design

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Workflow AI API Design Workflow Design an API on its contract instead of discovering it endpoint by endpoint — model the resources, design the endpoints and payloads, pin the contract, then review it before code locks it in. Resource Turn a JSON Schema into a Prompt You have the schema — fields, types, requirements. The translation into a prompt the model actually follows: schema lines, realistic example, and validation rules. Tool JSON Output Prompt Builder Build prompts that return structured data — JSON first, with YAML, XML, and CSV modes — parseable every time.

Step 4 of 9

Design the data model

A schema designed on its entities, constraints, and queries.

Phase Design

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Workflow AI Database Design Workflow Design a schema on its data, not a hunch — model the entities and relationships, set the constraints that protect integrity, plan indexes around real queries, then document the schema and migration. Resource Schema Design & ERD Prompt — Entities, Relationships, and Keys Turn product requirements and key entities into an ERD-ready schema spec: tables, fields, primary and foreign keys, relationships with cardinality, indexes, and constraints — with the modeling gaps named as open questions. Tool SQL Optimization Prompt Build evidence-based SQL optimization prompts — goal, platform, and the evidence you have turn into a query tuning contract.

Step 5 of 9

Design auth and access control

An access-control model designed and reviewed before build.

Phase Design

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Workflow AI Auth & Identity Workflow Design access control before you build it, not after a breach — choose the authentication approach, model the roles and permissions, review the design for gaps, then document the identity model. Resource Security Engineer Role Prompt Make AI act as a security engineer — threat modeling, secure design, risk assessment, and defensive recommendations — instead of a generic assistant. Tool Role Prompt Generator Generate expert role prompts — perspective, responsibilities, and decision criteria, not just "act as".

Step 6 of 9

Review the code as you build

Changes reviewed for correctness and design before they merge.

Phase Build & Refine

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Workflow AI Code Review Workflow A complete AI-assisted review pass — not one prompt — that ends with ranked findings, tests guarding behavior, and a refactor plan when one is warranted. Resource Code Review Prompt — the Review Contract "Review this code" gets shallow comments. The review contract gets findings with severities, a checklist, and a verdict. Tool Code Review Prompt Generator Generate code review prompts for any scope — snippet, file, diff, or full pull request — with focused review rules.

Step 7 of 9

Lock behavior down with tests

Tests that catch real regressions in the API.

Phase Build & Refine

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Workflow AI Test Generation Workflow Build a test suite that fails for real reasons, not green decoration — coverage across unit, integration, and edge cases, then a review for the gaps. Resource Unit Test Prompt — Isolation Done Right Mock the dependencies, test the business logic, one behavior per test — the unit testing contract that bans plumbing tests. Tool Test Case Prompt Generator Build test generation prompts — unit, integration, or E2E — with framework modes and edge-case coverage rules.

Step 8 of 9

Run a security review

Exposed paths reviewed for vulnerabilities and guarded by tests.

Phase Build & Refine

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Workflow AI Security Review Workflow Review code for what an attacker would do, not just what tests catch — anchor the model as a security engineer, run a threat-focused review, then back the findings with auth and input tests. Resource Security Code Review Prompt Twelve security checks — injection, auth, secrets, SSRF, privilege escalation — reviewed the way an attacker would read the code. Tool Code Review Prompt Generator Generate code review prompts for any scope — snippet, file, diff, or full pull request — with focused review rules.

Step 9 of 9

Ship it to production

The backend shipped with a rollback path and monitoring.

Phase Ship & Validate

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Workflow AI Deployment & Release Workflow Cross the gap between 'tests pass' and 'safe in production' — assess release readiness, plan the deploy and its rollback, and set up the monitoring and launch checks before you ship, not after. Resource Production Readiness Review Prompt SHIP or DO NOT SHIP: twelve checks on failure modes, observability, rollback, and load — the review that happens before the incident. Tool Markdown Output Builder Build prompts that produce documents in a fixed structure — headings, sections, and tables.