SDLC
The Software Development Life Cycle (SDLC) is a structured framework for planning, managing, and controlling the software development process. It divides a software project into phases such as requirements analysis, system design, coding, testing, deployment, and maintenance, aiming to improve development efficiency, reduce risk, and ensure software quality through standardized processes. Common SDLC models include the Waterfall, Agile, and Spiral models, applicable to software engineering projects of varying scales and types.
Core Facts
Timeline (last 90 days)
Addy's skill pack is the only one among the three that covers the complete SDLC, and is described as being installable into approximately 70 different agents.
Addy Osmani's methodology is a software engineering lifecycle consisting of six phases—Design, Plan, Build, Verify, Review, and Ship—each corresponding to a slash command.
The SDLC (Software Development Life Cycle) typically comprises six phases: requirements analysis, system design, coding and implementation, testing and verification, deployment, and operations and maintenance.
Under the influence of GenAI programming assistants, engineers' attention is shifting from translating requirements into code toward higher-level activities such as architecture design, constraint definition, reviewing AI-generated changes, and validating user journeys.
After AI accelerates the coding phase, the bottleneck shifts to other stages of the software development lifecycle (SDLC), such as planning, release validation, and retrospectives.
The traditional Software Development Life Cycle (SDLC) comprises six phases—planning, design, build, test, deploy, and maintain—with the build phase historically being the most time-consuming.
In traditional SDLC, the build phase typically accounts for 30–50% of the total project time cost.
The artifact chain Intent→Spec→Plan→Code enables AI to maintain contextual coherence throughout the entire SDLC, with each document serving both as a record of human decisions and as input for downstream agents.
In the traditional SDLC, the build (coding) phase typically accounts for 30–50% of the total project time cost, while the testing and maintenance phases often account for 60–70% of the total software cost.
The traditional SDLC contains six phases—planning, design, build, test, deploy, and maintenance—with the build phase being the most time-consuming and costly.
2 more timeline events
All Facts (15)
「AI原生」（AI-Native）意味着从第一天起就以AI智能体作为核心生产力单元来设计公司架构，区别于将AI作为现有流程补丁的「AI赋能」（AI-Enabled）
90%VerifiedCoding may account for only 30%–40% of a developer's time across the entire software development lifecycle.
80%UnverifiedAI对SDLC的冲击，其潜在影响力堪比从瀑布模型到敏捷开发的转型
60%UnverifiedAddy's skill pack is the only one among the three that covers the complete SDLC, and is described as being installable into approximately 70 different agents.
50%UnverifiedAddy Osmani's methodology is a software engineering lifecycle consisting of six phases—Design, Plan, Build, Verify, Review, and Ship—each corresponding to a slash command.
50%UnverifiedUnder the influence of GenAI programming assistants, engineers' attention is shifting from translating requirements into code toward higher-level activities such as architecture design, constraint definition, reviewing AI-generated changes, and validating user journeys.
50%UnverifiedThe SDLC (Software Development Life Cycle) typically comprises six phases: requirements analysis, system design, coding and implementation, testing and verification, deployment, and operations and maintenance.
50%UnverifiedAfter AI accelerates the coding phase, the bottleneck shifts to other stages of the software development lifecycle (SDLC), such as planning, release validation, and retrospectives.
50%UnverifiedThe traditional Software Development Life Cycle (SDLC) comprises six phases—planning, design, build, test, deploy, and maintain—with the build phase historically being the most time-consuming.
50%UnverifiedIn traditional SDLC, the build phase typically accounts for 30–50% of the total project time cost.
50%UnverifiedThe traditional SDLC contains six phases—planning, design, build, test, deploy, and maintenance—with the build phase being the most time-consuming and costly.
50%UnverifiedIn the traditional SDLC, the build (coding) phase typically accounts for 30–50% of the total project time cost, while the testing and maintenance phases often account for 60–70% of the total software cost.
50%UnverifiedThe artifact chain Intent→Spec→Plan→Code enables AI to maintain contextual coherence throughout the entire SDLC, with each document serving both as a record of human decisions and as input for downstream agents.
50%UnverifiedClears aims to cover agentic execution across the entire SDLC (Software Development Life Cycle), including the complete chain of requirements decomposition, coding, testing, integration, and deployment.
50%UnverifiedAnthropic released an AI-native Software Development Life Cycle (SDLC) practice handbook, whose core concept is to restructure the traditional development process through an Intent.md file.
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