Dev Agents that do your work, your way

Accelerate AI application development with specialized developer agents that work the way your engineering teams do. WaveMaker's agentic platform brings intelligent AI agents directly into WaveMaker Studio to automate repetitive development tasks while keeping every architectural decision reviewable, reversible, and fully yours.

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Built on Model Context Protocol (MCP)

Give every AI agent deep, real-time understanding of your application architecture, codebase, APIs, UI components, and development standards.

100% Traceable

Every AI-generated change is reviewable, reversible, and fully auditable, giving enterprise teams complete visibility into how agentic applications evolve over time.

Architecture-First

Accelerate AI application development while preserving architectural integrity, security, governance, and enterprise coding standards from the very beginning.

The Challenge

What our agentic framework is solving

Most AI tools lack awareness of your architecture, design system, security standards, APIs, and business context. The result is fragmented implementations, inconsistent code quality, and technical debt that slows software delivery instead of accelerating it.

Our Approach

Developer agents that work inside your app

Instead of relying on a single AI assistant, WaveMaker orchestrates specialized developer agents that understand your application's architecture, business logic, APIs, UI framework, security requirements, and organizational standards before generating code.

Every AI-generated change happens inside WaveMaker Studio, where developers remain in complete control through reviewable, reversible, and fully traceable workflows.

The Challenge

What our agentic framework is solving

Our Approach

Developer agents that work inside your app

Every AI-generated change happens inside WaveMaker Studio, where developers remain in complete control through reviewable, reversible, and fully traceable workflows.

Working with WaveMaker has accelerated how we bring agentic AI to front-office trading and research workflows. Combining KX's real-time analytics and KDB-X with WaveMaker's agentic platform, we're building trading agent workflows that move teams faster from market data to decision-ready insight.

Nataraj Dasgupta, Senior Vice President of AI Solutions

Core Capabilities

Everything you need to ship faster, without shortcuts

Intelligent orchestration

WaveMaker coordinates specialized AI agents to build complete features - from UIs and backend services to APIs, integrations, security, and workflows. Every output follows enterprise architecture standards and platform best practices, enabling reliable agentic app generation from a single request.

Preview & control

Preview every workflow, inspect generated code before it is committed, refine implementation details, and roll back changes with confidence. Every AI recommendation remains transparent and under developer control.

Session management

WaveMaker preserves prompts, conversations, workflow history, generated artifacts, and development decisions, making AI-assisted software development fully accountable and easy to audit.

Platform Intelligence

The WaveMaker Skills Registry

Pre-wired expertise for every dev workflow - baked into every agent, from day one.

Unlike general-purpose coding assistants that rely solely on prompts, WaveMaker equips every AI agent with a curated, versioned skills registry, containing reusable development skills for UI generation, API integration, security configuration, testing, and more. Instead of repeatedly defining architecture, coding standards, UI frameworks, security policies, or integration patterns, developers work with agents that already understand them.

UI Screen Generation

Scaffolds full screens from natural language or Figma

API Integration

Wires REST / GraphQL services with correct binding patterns

Security Configuration

Role-based access, auth flows, and session policies

Data Model Wiring

Generates CRUD operations aligned to your DB schema

React Native Mobile

Translates web skills into mobile-optimized components

Design-to-Code

Converts Figma components to platform-compliant markup

Test Scaffolding

Auto-generates unit and integration test stubs

Git Workflow

Branch, commit, and review with platform-aware Git operations

Performance Tuning

Identifies and fixes rendering bottlenecks in WML

Dependency Management

Adds and validates library upgrades safely

Docs Generation

Produces inline docs and API contracts automatically

Custom Skills

Add your own organization-specific skills to the registry

The AI LLM gateway

Multi-provider resilience that protects your workflows and your budget - always on, always optimal.

WaveMaker's LLM Gateway routes requests across Anthropic, OpenAI, Gemini, and is flexible for future providers - selecting the best model for the task, falling back automatically on errors, and enforcing your budget at every step. Your dev workflow never stops because a provider had an outage, and you're never stuck when a better model comes along.

Trust & Safety

Guardrails at every layer

AI that knows its limits - so you can push yours.

From prompt validation to cost caps to architectural enforcement, WaveMaker agents operate within boundaries you control, at every level of the stack.

Prompt Guardrails

Input Validation

Every prompt is validated before it reaches any LLM. Ambiguous, risky, or out-of-scope instructions are intercepted at the gateway - before a single token is generated.

Standards Enforcement

Architecture Guardrails

Agents generate code only within and enterprise standards. Every action is guided by reusable platform skills and governed workflows to ensure consistency and maintainability.

Spend Control

Cost & Budget Guardrails

Define token budgets by user, team, or project. The platform tracks AI usage in real time and prevents agents from exceeding configured limits.

Decision Checkpoints

Human-in-the-Loop

Configure mandatory review gates for critical actions. Agents pause, explain their reasoning, and wait for human approval before irreversible changes are executed.

How the four guardrail layers work across a dev agent workflow

Retry / Fallback Strategies:
When any layer surfaces an issue, intelligent fallback routing selects an alternative LLM provider (Anthropic → OpenAI → Gemini) without interrupting your workflow

AI Orchestration

Multi-agent architecture

Specialized agents. Coordinated execution.

WaveMaker orchestrates specialized AI agents that collaborate across the entire development lifecycle. Every agent draws from the WaveMaker skills registry and Model Context Protocol (MCP), sharing enterprise knowledge, application context, and architectural standards to deliver consistent, production-ready applications.

Coordinated execution

Tasks are intelligently distributed to the right AI agents, with context and progress shared seamlessly across the workflow.

Shared platform intelligence

Every agent uses the WaveMaker Skills Registry and MCP to access reusable development skills, application context, and enterprise standards.

Extensible by design

Add custom skills and integrate your own AI agents to support organization-specific workflows and development practices.

Coordinated execution

Tasks are intelligently distributed to the right AI agents, with context and progress shared seamlessly across the workflow.

Shared platform intelligence

Every agent uses the WaveMaker skills registry and MCP to access reusable development skills, application context, and enterprise standards.

Extensible by design

Add custom skills and integrate your own AI agents to support organization-specific workflows and development practices.

Observability & Analytics

Built-in observability

Every token. Every decision. Every cost. Visible, traceable, auditable.

WaveMaker provides a comprehensive observability layer that gives engineering leaders complete visibility into every AI-assisted workflow - from prompt to production. Track costs, monitor performance, inspect execution traces, and understand exactly how your agentic platform is accelerating software delivery.

Four observability pillars

Pillar

End-to-End Tracing

Structured Logging

Metrics & Monitoring

Dashboards & Reports

Key
Outcome

Full request lifecycle visibility

Audit trail + debugging

Performance + error tracking

Leadership visibility

How it
Helps

Follow every agent request from prompt to commit - across every service, every LLM call, every guardrail check. Identify exactly where latency lives and where quality breaks down.

Every agent decision is logged in structured, queryable format. Feed it to your SIEM, your compliance team, or your engineering post-mortems. No black boxes.

Real-time latency, error rates, and cost-per-workflow metrics help you optimize continuously. Set thresholds. Get alerted. Tune your agents without guesswork.

Live dashboards surface agent ROI, team productivity trends, and cost analytics - giving engineering leaders the data to justify and scale AI adoption confidently.

WaveMaker agent observability dashboard

Under The Hood

How WaveMaker agents deliver results

WaveMaker Agentic Framework brings sophisticated, enterprise-grade developer workflow agents to build resilient, reliable, and secure applications.

Rich Context,
Not Code Dumps

Our MCP framework gives agents targeted context, current code structures, UI framework knowledge, dependencies, best practices, and architectural patterns, optimized for efficient token usage and faster responses. No bloated prompts, no irrelevant outputs.

Two-Pass
Coding System

Intelligent planning followed by rigorous validation ensures predictable, high-quality output every time. The AI mode works natively with WaveMaker's optimized markup language (WML) for reliable production results that don't require cleanup.

Developer-Centric
by Design

Minimal code review overhead. Collaborative decision-making with agents. Intent-based iterations that match how developers actually think and work, not how AI wants them to. Governed from the start.

Governed from
the Start

Every agent workflow runs within WaveMaker Studio's governance layer, ensuring security standards, architectural integrity, and codebase consistency are never traded away for speed.

Business Impact

What WaveMaker dev agents change for enterprise teams

Scales team efficiently

Developers with basic web skills deliver production-grade features. Architects focus on strategic design while the team accelerates delivery.

Faster onboarding

New developers become productive from day one with AI assists that guide them with best practices and proper architectural patterns.

Built for the long run

Generate clean, maintainable code with a stable architecture that supports effortless updates and scales confidently with your business over time.

Full Visibility into AI ROI

Understand how AI contributes to engineering productivity through real-time analytics on developer efficiency, delivery velocity, token usage, infrastructure costs, and workflow success.

Ready to build with WaveMaker agents?

Experience enterprise application development where AI accelerates delivery, without sacrificing the quality, security, and architectural integrity your business demands.

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FAQs

What are the leading agentic AI application development platforms for enterprises?

There are several AI-powered application development platforms today, including Cursor, GitHub Copilot, Replit, Claude, and AWS, each serving different development needs and use cases. WaveMaker is designed specifically for enterprise teams that need agentic application development with architecture, governance, and code ownership built in - using specialized Dev Agents, deterministic code generation, and open standards to build production-ready web and mobile applications.

How do application generation platforms accelerate enterprise developer teams?

AI application generation platforms improve developer productivity by automating repetitive development tasks while preserving architectural consistency. With shared application context, reusable development skills, and coordinated AI workflows, teams can build features faster, onboard developers more quickly, and deliver production-ready applications with greater confidence.

What is the best platform for AI-assisted mobile app development?

For enterprises looking to build mobile applications with AI while maintaining control over architecture and code, WaveMaker is a strong choice. WaveMaker combines AI-powered Dev Agents with a deterministic two-pass architecture to generate production-ready React Native applications, while its Design-to-Code capabilities can turn Figma designs into working application code. Its React Native Mobile skill also lets teams extend web development workflows to mobile without maintaining a separate AI development process.