How to Build the Business Case for AI Engineering
How to build the business case for AI in software engineering: a CFO-ready framework for total cost of ownership, three-scenario ROI, payback, and risk.
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Engineering intelligence
for the agentic era.
Evidence-led guidance on AI-enabled software delivery, legacy modernization, governance, and measurable engineering ROI.
How to Measure AI Developer Productivity: A Field Guide
Learn how to measure AI developer productivity: DORA, SPACE, and DX Core 4 frameworks, metrics that survive AI, data collection, and a 6-step rollout.
Read insightMonolith to Microservices Modernization: When and How
Monolith to microservices modernization: when microservices are worth it, how to find service boundaries, and how AI agents speed the decomposition.
Read insightAgentic Engineering vs. AI-Assisted Development
Agentic engineering vs. AI-assisted development: how autonomy, verification, governance, and cost differ — plus a CTO framework for choosing between them.
Read insightAI-Powered Legacy Modernization: An Enterprise Roadmap
A phased enterprise roadmap for AI-powered legacy modernization: assessment, documentation, strangler-fig migration waves, governance, and ROI measurement.
Read insightDevin vs. Replit: Roles in an Enterprise AI Strategy
Devin vs Replit: complementary roles, not substitutes. How enterprises use Cognition Devin for backlogs and Replit for rapid apps — plus governance and cost.
Read insightDORA Metrics for AI-Assisted Software Teams
How DORA metrics for AI-assisted development shift when assistants and agents write code — what to watch per metric, new counters, and a rollout plan.
Read insightHow to Measure ROI from AI in Software Engineering
A practical framework for how to measure ROI of AI in software engineering: baselines, DORA metrics, cost per outcome, and a CFO-ready business case.
Read insightHow to Reduce an Engineering Backlog Without Hiring
A practical playbook to reduce engineering backlog without hiring: triage, parallel AI agent workstreams, governance, and metrics that prove it.
Read insightModernize Legacy Systems Without a Big-Bang Rewrite
Modernize legacy systems without a big-bang rewrite: four incremental patterns compared, wave planning steps, and how AI agents change the economics.
Read insightProduction-Safe AI Code: Why Runtime Context Matters
Production-safe AI-generated code requires runtime context. Failure taxonomy, safety checklist, and governance for enterprise engineering leaders.
Read insightSnowman Labs Is an Official Cognition Enablement Partner
Snowman Labs is an official Cognition enablement partner: training enterprise engineering teams with Cognition's Forward Deployed Engineers to maximize Devin.
Read insightThe 90-Day AI Engineering Enablement Plan
A 90-day AI engineering enablement plan for CIOs and CTOs: baseline metrics, pilot squads, governance gates, and exit criteria for rolling out AI coding tools.
Read insightWhat Is Agentic Engineering? A Guide for CIOs and CTOs
What is agentic engineering? A CIO/CTO guide to the definition, how AI agents deliver production software, governance, ROI evidence, and readiness.
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