Tag: SDLC

Buying Claude Licenses Is Not Enablement: What Has to Be Ready Before You Start

As of May 2026, Anthropic says Claude authored more than 80% of the code they merge into production — their figure, not a fact about your org. What it points to is real: buying licenses is not enablement. What has to be ready before you start, and how a three-layer review catches demo-grade output before it reaches production.

As of May 2026, Anthropic says Claude authored more than 80% of the code they merge into their production codebase (When AI builds itself). The number is public and it's Anthropic talking about Anthropic — not a verified fact about your organization, and it shouldn't be treated as one. But as a market signal it's worth sitting with: you probably have Claude Code licenses too, and your team is still using it as a smart autocomplete — finish a line, generate a test, speed up the boring part.

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AI Is Not Just a Coder: How AI Covers the Entire Software Development Lifecycle

‘AI is just a very fast intern coder’ is an accurate description of stage one. At stage two, AI becomes an executor of thinking at every step of the SDLC — from clarify dialogs with stakeholders in Jira to multi-agent pipelines that catch, fix, and verify themselves.

"Writing code is only a small part of the SDLC. There's also stakeholder interviews, requirements formulation, architectural design, testing, monitoring. AI is just a very fast coder — not a thinking member of the team."

That argument is right. For stage one.

At stage one, someone watches AI write code and concludes: "AI = coder." Then they notice that coding isn't the whole of software development. "Therefore AI won't replace engineering entirely." The logic holds. The conclusion doesn't.

At stage two, AI covers exactly what that argument says is missing.

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