Delivery lifecycle
The entire process of developing, deploying, and maintaining a software product.
The delivery lifecycle covers everything from the initial idea for a piece of software to its final retirement. It includes planning, designing, building, testing, releasing, and ongoing updates or fixes.
Think of it like building a house. You don't just build it and leave. You plan the blueprints, lay the foundation, construct the walls, install plumbing and electricity, inspect everything, hand over the keys, and then you might come back to fix a leaky faucet or add an extension. The delivery lifecycle is the same structured approach for software.
The software delivery lifecycle encompasses all phases of a product's existence, from conception through development, deployment, operation, and eventual decommissioning. It is a framework that guides teams in efficiently and reliably bringing software to users and keeping it functional. Key stages often include requirements gathering, design, implementation, testing, deployment, and maintenance.
Modern approaches emphasize continuous integration and continuous delivery (CI/CD) to shorten this cycle, enabling faster iteration and feedback. Tradeoffs involve balancing speed with stability and cost. The specific stages and their order can vary based on development methodologies like Agile or Waterfall.
The term appears in relation to how companies like OpenAI are enabling organizations to build and deploy AI-powered applications. The focus is on the practical steps needed to integrate AI tools, like Codex, into existing workflows and products, moving beyond just model development to operationalizing AI.
- How Endava builds an agentic organization with CodexOpenAI · OpenAI News ·
- OpenAI ChatGPT
- OpenAI's tools like Codex are integrated into the software delivery lifecycle, enabling developers to build and deploy applications more efficiently.
- Software development lifecycle
- This term is very similar and often used interch
- Product lifecycle
- This is a broader concept that includes market analysis, sale
The concept of a software delivery lifecycle evolved from earlier software development lifecycle models. It gained prominence with the rise of DevOps practices, emphasizing the integration of development and operations to speed up delivery.
Use OpenAI's ChatGPT to help plan the steps for delivering a simple web application. Ask it to outline the stages from initial idea to a deployed, working site, and identify potential challenges in each phase.
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Questions people ask
- What are the main stages of a delivery lifecycle?
- The main stages typically include planning, design, development, testing, deployment, and maintenance. Each stage has specific goals and activities.
- How does AI fit into the delivery lifecycle?
- AI tools can assist in various stages, such as code generation during development, automated testing, and even predictive maintenance during the operational phase.
First seen on Subvolts May 28, 2026. Updated Sep 15, 2026. Written by an AI model from the items above and reviewed against them weekly; report an error.