Fillo vs Codegen

Detailed side-by-side comparison to help you choose the right tool

Fillo

🔴Developer

Developer Tools

Fillo lets coding agents add native, product-embedded forms while Fillo manages validation, uploads, submissions, versions, and delivery.

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Starting Price

Custom

Codegen

🔴Developer

Developer Tools

AI developer agent platform for enterprise teams with sandboxed execution, governance controls, and deep workspace integration.

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Starting Price

Custom

Feature Comparison

Scroll horizontally to compare details.

FeatureFilloCodegen
CategoryDeveloper ToolsDeveloper Tools
Pricing Plans50 tiers6 tiers
Starting Price
Key Features
  • Native React and framework-agnostic rendering without an iframe
  • Visual-builder and code-defined forms with headless composition
  • Conditional logic, multi-page flows, prefill, and respondent verification

    Fillo - Pros & Cons

    Pros

    • Free includes the full SDK and core product features.
    • Native rendering preserves product CSS and design-system control.
    • Managed uploads, webhooks, response history, and integrations reduce backend work.
    • Published EU hosting and security documentation help vendor review.

    Cons

    • Free is limited to 200 completed responses per month.
    • Paid overage charges make busy public forms more expensive.
    • The platform adds a vendor dependency to a critical submission path.
    • No native MCP server or client support was verified.

    Codegen - Pros & Cons

    Pros

    • Enterprise-grade governance and compliance (SOC 2) that competing tools lack
    • Parallel agents dramatically speed up large codebase refactoring
    • Full workspace context including project management tools, not just code
    • On-premises deployment available for regulated industries
    • PR Review Agent catches security and architectural issues at org level
    • Reproducible runs with full audit trails for every agent action

    Cons

    • Pricing not publicly disclosed — enterprise sales process required
    • Overkill for small teams or individual developers
    • Newer platform with less community adoption than Cursor or Copilot
    • Learning curve for configuring governance policies and agent workflows
    • Limited public documentation on performance benchmarks vs competitors

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