407 articles · 28 topics · since 2019
Written for the people who decide what gets built: how to adopt AI safely, modernize aging systems, keep cloud costs in check and keep it all secure.
New article · Oct 15, 2026
Revitalize Legacy Code with AI: A Practical Guide
Just published
The article explores how AI can optimize large legacy codebases safely through a structured process that emphasizes engineering discipline and safeguards.
· 12 min read
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Articles 4–9 of 407 · page 1 of 46
Custom Application Development· 9 min read
The article argues that cross-platform frameworks introduce a structural schedule dependency risk when platform vendors impose SDK floors or major OS changes, explains why framework lag occurs, classifies which apps are most exposed, and offers three strategic responses—stay, insulate, or migrate—plus practical guidance for mitigation and governance.
Custom Application Development· 8 min read
The article explains how poor internal-tool UX hides as payroll cost and shows how to convert workflow friction into defensible, CFO-ready dollars using loaded labor rates, low-effort diagnostics, phased redesigns, and appropriate metrics to prove ROI.
Custom Application Development· 8 min read
The article argues that grant reporting is a data-integration problem causing weeks of manual work for nonprofits and that a modest custom data layer—built in phases using targeted engineering, governance, and available indirect cost recovery—can automate reconciliations, preserve donor restrictions, and dramatically reduce staff time spent on funder reports.
AI Adoption & Strategy· 9 min read
The article argues that the rapid scaling of AI-driven outbound (AI SDRs) has increased message volume far faster than human attention, forcing buyer-side AI triage and reframing outbound success from copywriting to data engineering; it recommends pausing volume growth until CRM data, sender authentication, enrichment signals, and deliverability infrastructure are remediated and sequenced.
Cloud Data Platforms· 9 min read
This article argues that agencies should not host a client’s reporting pipeline because dashboards are a view, not ownership; it explains the five layers of a reporting stack, the real losses when agencies retain connectors, storage, and transformation logic, contractual protections to demand, incremental migration steps, costs, and when agency-hosted reporting can be acceptable.
Custom Application Development· 8 min read
The article argues that colleges can capture fast-growing employer-sponsored and noncredit enrollment only by addressing operational gaps in legacy SIS platforms, recommending an API-driven sidecar program-management layer to provide B2B billing, cohort workflows, identity matching, and activity-based costing so non-degree revenue can scale and be measured profitably.
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