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RayMish Frames Full Agentic SDLC

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RayMish Frames Full Agentic SDLC
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// 3h agoNEWS

RayMish Frames Full Agentic SDLC

RayMish’s Agentic SDLC model places AI agents across planning, requirements, architecture, coding, testing, security, deployment, and observability, with humans setting intent and governing execution. RayMish describes this broader approach as AI-native engineering acceleration.

// ANALYSIS

The important shift is organizational, not generative: AI makes writing code cheaper, so delivery quality increasingly depends on context, orchestration, validation, and governance.

  • Specialized agents divide the lifecycle into discrete responsibilities instead of relying on one general coding assistant
  • Human oversight remains central for architecture, compliance, security, and release decisions
  • The model exposes testing, observability, and requirements quality as the next major delivery bottlenecks
  • RayMish’s reported velocity and defect improvements are vendor claims, not independently verified benchmarks
  • This is best understood as a delivery framework and services proposition, not a standalone developer product
// TAGS
agentic-sdlcraymishagentai-codingtestingci-cdobservability

DISCOVERED

3h ago

2026-08-12

PUBLISHED

13h ago

2026-08-12

RELEVANCE

8/ 10

AUTHOR

shamshudein