Context-Aware AI Infrastructure for Modern Codebases

DevFlow AI continuously indexes your multi-repository architecture, performs structural AST reasoning, and autonomously executes refactorings via native MCP tool orchestration.

Zero code retention. End-to-end sandbox isolation.

devflow-agent --claude-sonnet-3.5 --mcp-bridge

MCP Connected 200k Context

❯ devflow analyze --repo=core-backend --target=auth-service

[Claude 3.5 Sonnet] Parsed 142 source files (18,490 tokens AST) in 412ms.

• Discovered circular dependency: SessionManager.ts ⟷ TokenStorage.ts

• Found unsafe asynchronous token mutation in line 84 of jwt_verifier.go

• Generating decoupled state machine with zero-allocation mutex locks...

MCP Tool [github_create_pull_request] executed successfully: PR #389 created.

Diff generated: +48 lines / -71 lines across 3 microservices. Latency: 1.18s

200K

Context Window Depth

< 380ms

Haiku Token Stream

100%

Model Context Protocol

SOC-2

Enterprise Sandbox Grade

Dual-Engine Architecture

Engineered Specifically on Anthropic Claude 3.5

We decompose multi-repository engineering problems using specialized model tiers for optimal reasoning fidelity and execution velocity.

Claude 3.5 Sonnet

High-Fidelity Reasoning Engine

Reserved for heavy-duty architectural reasoning, multi-file AST dependency graph generation, and orchestrating Model Context Protocol tools across enterprise repositories.

200,000 token context window parsing
Autonomous MCP tool invocation & error correction
Syntactic mutation analysis and architectural validation

Claude 3.5 Haiku

Sub-Second Reactive Engine

Powers inline linter auto-fixes, code diff validation, commit message synthesis, and real-time developer stream interactions with minimal latency overhead.

Ultra low-latency token streaming for IDE autocomplete
Real-time syntax tree & schema validation
Cost-optimized micro-agents for linting & documentation

Open Protocol Standard

Model Context Protocol (MCP) Native

DevFlow AI acts as a bidirectional bridge between your existing local engineering tools, database schemas, and Anthropic Claude via standard MCP servers.

01 / DISCOVERY

Local & Remote MCP Servers

Auto-discovers Postgres, Git, Docker, and customized company internal CLI tooling using standardized JSON-RPC schemas.

02 / ORCHESTRATION

Claude Context Aggregation

Anthropic Claude 3.5 evaluates available tool schemas, dynamically selects optimal execution strategies, and builds execution plans.

03 / SAFE RUNTIME

Sandboxed Tool Execution

Code runs within isolated ephemeral microVMs with strict human-in-the-loop policies before changes merge to production.

Capabilities

Built for Demanding Engineering Teams

Eliminate boilerplate toil, eliminate regression debt, and keep your production systems resilient.

Multi-Repo Dependency Graph

Maintains persistent AST representations across microservices. Understands how an API schema change in Service A breaks clients in Service B.

Autonomous PR Refactoring

Not just comments: DevFlow authors complete, unit-tested Pull Requests that resolve tech debt, deprecations, and race conditions.

Zero-Data-Retention Vault

Your code never trains foundation models. Enterprise-grade encryption at rest and in transit with self-hosted private tenant options.

Interactive Simulator

See DevFlow AI in Action

Switch workflows below to inspect how Claude 3.5 Sonnet processes real developer tasks.