AI-assisted development

Why AI Management Skills Are Your Real ROI Gap | ECI Research

Why AI Management Skills Are Your Real ROI Gap | ECI Research

AI, Application Development, Automation, Enterprise IT Strategy /

Matt Gjertsen, founder of BUILT and former SpaceX training lead, argues in his new book that AI underperformance is a management problem, not a technology problem. Every employee who interacts with AI tools must develop the skills to direct, evaluate, and course-correct AI outputs. ECI Research data on AI tool adoption and security risk exposure supports the urgency of that argument.

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AI Content Governance: Why the Output Layer Is the Real Risk

Why the Output Layer Is the Real Risk in AI Content Governance

AI Governance, Application Development, DevSecOps /

Enterprise AI governance has advanced on access logging and provenance tracking, but most programs still lack enforcement at the content output layer. Markup AI calls this “compliance theater.” ECI Research data shows nearly two-thirds of practitioners already see elevated risk from AI-assisted development, making the case for output-layer controls more urgent.

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Codenotary Uses Claude AI to Secure immudb Development

Codenotary Uses Claude AI to Secure immudb Development

AI, Application Development, DevOps, DevSecOps, Open Source, Programming, Software Development /

Codenotary has been accepted into Anthropic’s Claude for OSS program, deploying AI assistance to accelerate development of immudb, its open source immutable database. The company is using Claude to detect subtle bugs, analyze concurrency issues, and generate regression tests, while maintaining mandatory human review of all code changes. The move positions Codenotary to ship faster at a moment when enterprise demand for software supply chain security infrastructure is near peak.

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Enterprise AI ROI Gap: Why Productivity Gains Vanish at Scale

Enterprise AI ROI Gap: Why Productivity Gains Vanish at Scale

AI, Application Development, Enterprise Software, Machine Learning /

Enterprise AI is making individual contributors faster while leaving organizational returns largely unchanged. The cause is structural: AI was layered onto inherited processes that were never redesigned to benefit from acceleration. ECI Research data on engineering time allocation and AI security risk illuminates why the productivity gains are disappearing before they reach the balance sheet.

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AI Productivity ROI: Why the Efficiency Gains Are Going Nowhere

AI Productivity ROI: Why the Efficiency Gains Are Going Nowhere

AI, Application Development, Automation, Enterprise Software /

AI has delivered real productivity gains across engineering organizations, but most of those gains are being absorbed by existing processes rather than driving revenue. Michael Privat’s argument exposes a structural flaw in how enterprises are measuring AI ROI. ECI Research data confirms the innovation capacity problem is widespread.

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Gurobi's Academic Report Reveals the GenAI-Optimization Opportunity

Gurobi’s Academic Report Reveals the GenAI-Optimization Opportunity

AI, Application Development, DevOps, Enterprise Software, Machine Learning /

Gurobi’s first State of Mathematical Optimization in Academia report surveys 1,180+ faculty and students, revealing strong GenAI adoption in optimization workflows. The findings signal a long-term talent pipeline strategy as much as an academic exercise. ECI Research data shows engineering teams spend little time on net-new innovation, making AI-assisted optimization formulation a meaningful productivity lever.

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Why Standard Software Still Matters in the AI Era | ECI Research

Why Standard Software Still Matters in the AI Era | ECI Research

AI, Application Development, Automation, DevOps, Platform Engineering /

anynines CEO Julian Fischer argues that AI-generated software feeds on knowledge created by the standard software ecosystem rather than replacing it. ECI Research data shows engineering teams spend most of their time on maintenance, not innovation, making the promise of AI prototyping seductive but incomplete. The vendors that survive will be those who can prove their products contain judgment, accountability, and operational depth that no prompt can reproduce.

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AI Infrastructure Strategy: Why Edge and Governance Matter Most

AI Infrastructure Strategy: Why Edge and Governance Matter Most

AI, Application Development, Cloud, DevSecOps, Infrastructure, Machine Learning /

AI Appreciation Day prompted BCN CEO Richard Boudria Jr. to argue that the next AI wave will be won on infrastructure, not model size. ECI Research data shows most engineering time goes to maintenance, not innovation, and AI-assisted development is raising security risk across the enterprise. The governance and edge architecture gaps are where the real work begins.

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Enterprise AI Training Gap: Employees Left Behind | ECI Research

Enterprise AI Training Gap: Employees Left Behind | ECI Research

AI, Application Development, Automation, DevSecOps, Enterprise IT Strategy /

TrustedTech’s latest research finds that 78% of decision-makers are confident using AI at work versus just 43% of employees, while 36% of workers are self-teaching without employer guidance. ECI Research argues this enterprise AI training gap is more than a workforce development problem — it’s a live security and governance risk. Organizations that treat AI enablement as optional are already paying the price in elevated exposure and constrained innovation capacity.

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