AI-Generated Code Maintenance: What IT Services Must Change
AI helps delivery teams ship faster, but a handover of code is not a handover of understanding. What IT services companies must change in delivery, handovers and maintenance contracts.
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AI helps delivery teams ship faster, but a handover of code is not a handover of understanding. What IT services companies must change in delivery, handovers and maintenance contracts.
Discover why recent autonomous agent disasters are permission perimeter failures rather than model reasoning flaws, and how containment engineering protects mission-critical infrastructure.
An analytical exploration of shifting AI inference economics, demonstrating why cheap tokens were a temporary subsidy and how enterprises must hedge compute costs through dynamic contracting and model portability.
Fewer than 1 in 5 organizations track their AI systems. Learn why running multi-vendor agent estates-not building agents-is the next essential enterprise discipline.
An analysis of the ISG Provider Lens report on AI ADM services, revealing why enterprise procurement is abandoning raw code generation speed in favor of auditable evidence layers and software intelligence.
Discover how human-in-the-loop orchestration transforms generative AI from an unpredictable experiment into secure, high-ROI enterprise infrastructure across healthcare, logistics, and digital services.
Discover why single-model AI pipelines miss over 60% of critical security flaws, how Unit 42's multi-model findings redefine vulnerability testing, and why treating AI disagreement as signal marks the end of point-in-time audits.
Anthropic and OpenAI just slashed model inference costs. Here is why charging clients token markups is financial suicide and how to transition to outcome-based AI delivery.
Amazon blocked Meta's Muse AI agent for identity and credential violations. Learn why transparent agent identity, OAuth delegation, and counterparty authorization audits are essential for modern autonomous AI agent survival.
When to build your first MCP server with your own developer, when to hire a partner, and the third path that costs an afternoon. Plus the five questions to ask any partner and a seven-day plan to start this week.
What a first MCP server really costs: the five things that drive the effort, a three-phase build plan with my estimated ranges, the two people you need, and the three numbers to measure before anyone writes code.
An AI assistant with live access can go wrong in three places: it reads a secret it should not, it acts without approval, or it fails where nobody is looking. Here is the design answer to each, plus seven questions to put to your developer before you switch anything on.
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