Agentic Software Development Method

An Agentic Software Development Method is an ai agent-based autonomous software development method that can be applied by an agentic software development system to coordinate agentic software development tasks.

• AKA: Agent-Driven Development Approach, AI Agent Software Development, Autonomous Coding Approach, Agent-Orchestrated Development.
• Context:
  • It can typically deploy Agentic Software Development Agents for agentic code generation tasks and agentic code review tasks.
  • It can typically orchestrate Agentic Software Development Workflows through agentic task decomposition and agentic agent coordination.
  • It can typically enable Agentic Software Development Collaboration between agentic human developers and agentic AI agents.
  • It can typically automate Agentic Software Development Processes including agentic testing workflows and agentic deployment pipelines.
  • It can typically maintain Agentic Software Development Quality through agentic code standard enforcement and agentic automated reviews.
  • ...
  • It can often scale Agentic Software Development Teams through agentic agent multiplication and agentic parallel execution.
  • It can often adapt Agentic Software Development Strategys based on agentic performance metrics and agentic feedback loops.
  • It can often integrate Agentic Software Development Tools across agentic development environments and agentic CI/CD pipelines.
  • It can often optimize Agentic Software Development Resources through agentic workload distribution and agentic capacity planning.
  • ...
  • It can range from being a Simple Agentic Software Development Approach to being a Complex Agentic Software Development Approach, depending on its agentic orchestration complexity.
  • It can range from being a Single-Agent Agentic Software Development Approach to being a Multi-Agent Agentic Software Development Approach, depending on its agentic agent count.
  • It can range from being a Assisted Agentic Software Development Approach to being a Autonomous Agentic Software Development Approach, depending on its agentic human oversight level.
  • It can range from being a Specialized Agentic Software Development Approach to being a General-Purpose Agentic Software Development Approach, depending on its agentic application scope.
  • It can range from being a Reactive Agentic Software Development Approach to being a Proactive Agentic Software Development Approach, depending on its agentic initiative level.
  • ...
  • It can integrate with Agentic Development Frameworks like LangChain Framework and AutoGen Framework.
  • It can connect to Agentic Code Repositorys through agentic version control systems.
  • It can support Agentic Testing Platforms for agentic quality assurance.
  • It can interface with Agentic Deployment Systems for agentic release management.
  • It can synchronize with Agentic Project Management Tools for agentic progress tracking.
  • ...
• Examples:
  • LLM-Based Agentic Software Development Approaches, such as:
    • GitHub Copilot Agentic Development Approach using agentic code suggestions and agentic completion.
    • ChatGPT Agent Mode Development Approach with agentic multi-step reasoning and agentic tool integration.
    • Claude Code Agentic Development Approach for agentic terminal-based development and agentic CLI automation.
  • Multi-Agent Agentic Software Development Approaches, such as:
    • MetaGPT Agentic Development Approach simulating agentic software teams with agentic role specialization.
    • AutoGen Agentic Development Approach orchestrating agentic conversable agents for agentic collaborative coding.
    • CrewAI Agentic Development Approach managing agentic agent crews with agentic task delegation.
  • Specialized Agentic Software Development Approaches, such as:
    • SWE-Agent Development Approach for agentic bug fixing and agentic issue resolution.
    • Devin AI Development Approach providing agentic end-to-end development with agentic autonomous capability.
    • Cursor AI Development Approach enabling agentic pair programming with agentic contextual understanding.
  • Enterprise Agentic Software Development Approaches, such as:
    • Microsoft Semantic Kernel Approach for agentic enterprise integration and agentic plugin orchestration.
    • AWS Q Developer Approach with agentic cloud-native development and agentic AWS service integration.
    • Google AI Studio Approach using agentic Gemini models for agentic code generation.
  • ...
• Counter-Examples:
  • Traditional Software Development Approaches, which rely entirely on human developers without agentic AI assistance.
  • Static Code Generation Tools, which lack agentic autonomous capability and agentic adaptive behavior.
  • Template-Based Development, which uses fixed patterns without agentic intelligent adaptation.
  • Manual Coding Practices, which don't employ agentic automation or agentic AI agents.
• See: Agentic AI System Architecture, Multi-Agent Development Framework, LLM-based Agentic Reasoning Design Pattern, AI Development Framework, LangChain LLM-System Development Framework, ChatGPT Agent Mode, Terminal-Bench Benchmark, AI-Supported Software Development Framework.

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