Legacy System Documentation with AI: A Practical Guide
Legacy system documentation with AI: which artifacts to generate, how agents extract business rules, the expert validation gate, and keeping docs current.
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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.
Engineering Productivity Metrics: What to Track in 2026
A leader's guide to engineering productivity metrics: 12 metrics worth tracking, DORA vs. SPACE vs. DX Core 4, anti-patterns, and a 90-day rollout plan.
Read insightAI Legacy System Assessment: A Practical Enterprise Guide
What an AI legacy system assessment covers, what coding agents can map in days, the frameworks that score results, and the deliverables to demand.
Read insightAI Coding Tools ROI: Audit What Each License Returns
How to measure AI coding tools ROI tool by tool: real seat and usage costs, license utilization audits, and expand, hold, or cut thresholds per tool.
Read insightLoop Engineering: From Ralph Loops to the Enterprise
Loop engineering explained — Ralph loops, /goal commands, and how enterprises industrialize agent loops. Building on The Pragmatic Engineer's analysis.
Read insightCursor Alternatives for Enterprise Teams (2026)
The best Cursor alternatives for enterprise teams in 2026, ranked by delegation depth, governance, and published results — Devin, Claude Code, Codex, Copilot.
Read insightDevin and Cursor Together: An Enterprise Workflow
How enterprises run Devin and Cursor together: Cursor for hands-on work, Devin as the delegation layer that moves delivery metrics — with published results.
Read insightDevin vs Cursor for Large Codebases and Migrations
Devin vs Cursor on large codebases: multi-repo delegation, migration waves, and published results — 1,800+ repos, 6M-line monoliths — compared for CTOs.
Read insightDevin vs Cursor Security: Enterprise Controls Compared
Devin vs Cursor security compared for enterprises: VPC deployment, customer-managed keys, FedRAMP track, RBAC, and audit — evidence from a Cognition partner.
Read insightDevin vs Cursor: An Enterprise Decision Guide (2026)
Devin vs Cursor compared for enterprise teams in 2026: autonomy, pricing, governance, and ROI — plus a decision framework from an official Cognition partner.
Read insightHow to Reduce Technical Debt with AI: A CTO's Playbook
A practical playbook to reduce technical debt with AI: quantify debt in business terms, run supervised agent remediation waves, and govern AI-written code.
Read insightHow 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.
Read insightHow 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.
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