The tools and what job they're built for
GitHub Copilot — best for: line-by-line autocomplete in your IDE
Copilot is the incumbent. Integrated into VS Code, JetBrains, Neovim. Autocompletes functions, writes docstrings, suggests entire blocks based on context. The model quality in 2026 is excellent, and the IDE integration is seamless.
Wins at: day-to-day code writing speed inside an existing codebase. Most experienced engineers put the productivity bump at 30–50% on repetitive code.
Doesn't do: generate an entire application. Write the architecture. Make technology decisions. Produce compliance documentation.
Best for: teams with an existing codebase, experienced engineers who know what they want to write but want to write it faster.
Cursor — best for: multi-file edits + codebase-aware AI
Cursor is a full VS Code fork with AI built in at a deeper level than Copilot. The "Composer" agent mode can make coordinated changes across multiple files. Codebase chat lets you ask questions about your existing code and get grounded answers.
Wins at: large-scale refactors, understanding an unfamiliar codebase, multi-file feature additions in an existing project. The context window is used more aggressively than Copilot.
Doesn't do: generate a greenfield application from requirements. Doesn't write ADRs. Doesn't produce compliance documentation.
Best for: individual engineers and small teams who already have a codebase and want a smarter IDE assistant for it.
Bolt / Lovable / v0 — best for: quick UI prototypes
These tools generate a working React frontend from a prompt in seconds. The output is real, running code — not a mockup. For getting a UI proof-of-concept in front of a stakeholder fast, they're excellent.
Wins at: speed of first UI prototype. Designer or PM-friendly interface. Getting something visual to click through.
Doesn't do: generate the backend. Handle authentication seriously. Produce a multi-tenant database schema. Scale to a production application.
Best for: solo founders validating a UI concept, designers who want interactive prototypes, marketing teams who need a landing page fast.
Replit Agent — best for: hosted quick apps
Replit Agent generates and hosts a small application in a single session. Fast to get running, no local setup.
Wins at: zero-setup demos that run immediately. Educational use, quick experiments.
Doesn't do: generate production-grade code. Multi-tenant auth. Scalable architecture.
Best for: students, educators, quick experiments that don't need to scale.
Archiet — best for: full-stack production codebases from a PRD
Archiet is built for the greenfield moment: you have a product requirements document (or can describe your app in prose) and you need a complete, production-ready codebase — not a prototype.
Wins at:
- Generating a complete application (web + mobile + infrastructure + documentation) from structured requirements
- Architecture decisions documented with ADRs — every material technical choice has a written rationale
- Production security defaults: JWT in httpOnly cookies, organization-scoped queries, no secrets in code
- Compliance documentation generated from the actual data model (GDPR DPIA, HIPAA, PCI, SOC 2)
- 12 supported stacks — Flask, FastAPI, Django, NestJS, Laravel, Go, Java, Rails, .NET, Salesforce Apex, SAP CAP, desktop (Tauri+Rust)
- Quality score: every generation scored across 5 dimensions before delivery
Doesn't do: line-by-line autocomplete inside an existing codebase. That's Cursor and Copilot's job.
Best for: product teams, agencies, and consultants building new applications; enterprises who need compliance documentation alongside code; non-technical founders who need a full application with a clear handoff pack for a development team.
Decision matrix
| Job to be done | Best tool | |---|---| | Write code faster inside my existing codebase | GitHub Copilot or Cursor | | Refactor a large existing codebase with AI help | Cursor | | Generate a UI prototype to validate with stakeholders | Bolt / Lovable / v0 | | Build a quick demo app with no local setup | Replit Agent | | Generate a full-stack production application from a PRD | Archiet | | Generate compliance documentation alongside the code | Archiet | | Document architecture decisions as the code is written | Archiet | | Build the same app for 12 different stacks | Archiet | | Get day-to-day coding help AFTER the codebase is generated | Cursor or Copilot (inside the Archiet output) |
The most common combination
Many teams use Archiet to generate the production codebase on day one — architecture decisions documented, auth wired, database migrations written, Docker and CI/CD configured — then switch to Cursor or Copilot for the ongoing feature work inside that codebase.
The tools aren't competing; they're covering different phases of the same workflow.
What to look for in any AI code generation tool
Before picking a tool, be specific about which of these you actually need:
- Full stack or frontend only? — Most tools generate frontend. Backend, database, auth, and infra are a different class of problem.
- Prototype or production? — Prototype tools generate fast, rough code. Production tools generate complete, secure, documented, deployable applications.
- Architecture decisions documented? — If you're handing the codebase to a new engineer in 6 months, will they know WHY the technology choices were made? Most tools don't address this.
- Compliance requirements? — If you're in healthcare, fintech, or enterprise SaaS, you need more than code. GDPR DPIA, HIPAA risk assessment, PCI scope statement — these need to be generated from the actual data model.
- Multi-stack? — Building for an enterprise client who runs Java Spring Boot but also needs a NestJS microservice? Most tools are single-stack.
CTA
If you're looking for a tool to generate a full-stack production codebase from requirements — not a UI prototype — try Archiet. Free plan, no credit card.
archiet.com