AutoGen
Open source Microsoft framework for building multi agent AI apps with chat tool use function calling human in the loop and orchestration primitives for production workflows.
DeepCode
DeepCode is an AI-powered code review and security analysis engine that scans source code to identify bugs, vulnerabilities, and code quality issues using machine learning trained on large open-source repositories.
Feature Tags Comparison
Only in AutoGen
Shared
Only in DeepCode
Key Features
AutoGen
- • Agent Roles: Define planner executor critic or custom roles
- • Tool Calling: Register Python functions APIs or shell tasks
- • Conversation Loop: Coordinate agent messages tool calls and human handoffs
- • Memory and Logs: Persist conversations and tool results for debugging
- • Deterministic Scripts: Encode repeatable dialogues for reliability
- • Extensible Storage: Plug in vector stores and retrieval sources
DeepCode
- • AI code analysis: Analyze source code using machine learning models trained on real world repositories
- • Security vulnerability detection: Identify common and complex security issues early in development
- • Code quality insights: Highlight bugs and anti patterns that affect maintainability
- • Explainable findings: Show why issues matter and how similar problems were fixed elsewhere
- • Repository integration: Scan code in Git based workflows during pull requests
- • Continuous learning: Models improve as new data and fixes become available
Use Cases
AutoGen
- → Customer Support Flows: Triage issues call CRM tools summarize tickets
- → Data Processing: Pull files clean columns analyze and report
- → Developer Copilots: Draft tests refactors open PRs with approval gates
- → Research Assistants: Combine retrieval and critique roles with citations
- → Operations Runbooks: Encode dialogues that escalate to humans with logs
- → Marketing Drafts: Connect CMS analytics to propose briefs and drafts
DeepCode
- → Secure code reviews: Catch vulnerabilities during pull requests before they reach production
- → Legacy code audits: Scan older codebases to uncover hidden security issues
- → Developer education: Help engineers learn secure coding patterns through contextual feedback
- → Compliance support: Provide evidence of automated code review for security audits
- → CI pipeline checks: Add automated analysis steps to continuous integration workflows
Perfect For
AutoGen
Software engineers, platform teams, and researchers who need a flexible open source base to prototype and run multi agent systems with tool calling logging and human oversight
DeepCode
software developers, security engineers, DevOps teams, engineering managers, organizations maintaining large codebases
Capabilities
AutoGen
DeepCode
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