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AI agents reshape software development lifecycle with new ADLC model

By PulseAugur Editorial · [1 sources] ·

A new software development lifecycle (SDLC) is emerging, designed for AI agents rather than human developers. This "ADLC" model separates human governance of intent, validation, and outcomes from the agents' execution of planning, generation, and evidence gathering. Key artifacts like specifications and evaluation sets become central and durable, moving beyond traditional, slower development cycles. AI

IMPACT This new development lifecycle, ADLC, could streamline software development by leveraging AI agents for execution, potentially accelerating delivery and changing how teams manage intent and validation.

RANK_REASON The item describes a new methodology for software development that incorporates AI agents, rather than a direct release of a frontier AI model or significant industry-wide event.

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI agents reshape software development lifecycle with new ADLC model

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6 / 100
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Tool
The item describes a new methodology for software development that incorporates AI agents, rather than a direct release of a frontier AI model or significant industry-wide event.
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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product, other
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High
Clearly on-topic for AI-industry coverage.
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Same-day
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Full methodology in our editorial standards.

COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · Viktoria ·

    ADLC: The Lifecycle Taking Shape

    <p>The first essay in this series argued that CMMI's core insight survives and its quiet assumption does not: process maturity still predicts delivery reliability, but the model was sized for code written by people at a human pace. This essay is about what takes the place of that…

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