AI in the SDLC: adoption pressure, delivery discipline
A point of view on where AI changes software delivery outcomes, where it creates review load, and what CIOs and CTOs should measure before scaling adoption.
Read the articlePoints of view
All articles and advisory points of view.
A growing article library for CIOs, CTOs and architecture leaders. Browse the full set by category, then use the homepage as the shorter highlight reel.
All articles
The full point-of-view library.
Each article is written as a practical argument, not a service page. The intent is to make the choice sharper before it turns into funding, architecture, team design or delivery work.
Architecture as a decision system
A point of view on making enterprise architecture useful by turning principles into decisions, automated checks, exception paths and governance that changes what teams do.
Read the articleThe software organization behind engineering speed
A point of view on engineering speed as a system property shaped by team topology, platform quality, cognitive load, feedback loops and leadership choices.
Read the articleRoadmaps that make the trade-offs explicit
A point of view on technology roadmaps that connect funding, dependencies, platform readiness, stop rules and executive choices instead of hiding uncertainty behind dates.
Read the articleCategories
Browse by decision area.
Use categories to find the relevant advisory angle quickly: AI adoption, architecture governance, software organization design, roadmap sequencing or broader technology strategy.
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AI in the SDLC
1 article
Enterprise architecture
1 article
Software organization
1 article
Technology strategy
Publishing model
Monthly notes, selected for relevance.
The content area is meant to become a real advisory surface: a place to publish point-of-view articles, then choose which ones deserve space on the homepage.
New articles should start from a real CIO or CTO decision: AI adoption, architecture governance, software organization design, platform constraints, roadmap choices or technology strategy. If the note does not sharpen a decision, it should not be published.
Next step
Bring us the problem behind the article.
If one of these arguments maps to a live decision, start with a conversation. We can help separate the choice, the evidence and the operating path.
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