Technical Debt, AI & Software Risk Resources
A practical library for leaders who need to understand the software their organizations now depend on. Explore technical debt, AI-assisted development, software risk, key-person exposure, governance, industry-specific patterns, startup diligence, and the vocabulary behind them.
The useful question is rarely whether a codebase is perfect. It is whether the organization understands what it depends on, where risk sits, who owns it, what can safely wait, and what becomes expensive if ignored.
AI-assisted development can expand who builds software and compress the time between prototype, production, and technical debt. That makes visibility, governance, maintainability, continuity, and technical judgment more important.
Technical Debt Guides & Glossary
Start here for the core concepts behind technical debt, how it becomes business risk, and how organizations can assess what deserves attention without defaulting to a rewrite.
Technical Debt: What It Is, Where It Came From, and How AI Changes It
A broad guide to the technical debt concept, its history, how it appears in modern software, and why AI-assisted development is compressing the timeline between creation and accumulation.
Read resourceWhat Is a Technical Debt Audit?
A practical guide to what a technical debt audit includes, how a focused review works, what leadership receives, and when an independent assessment is useful.
Read resourceTechnical Debt vs. Cybersecurity Risk
Where technical debt and cybersecurity overlap, where they differ, and why a clean vulnerability scan cannot answer questions about ownership, maintainability, architecture, documentation, or continuity.
Read resourceTechnical Debt vs. Legacy Software
Why technical debt and legacy software overlap without meaning the same thing, and how very young AI-assisted systems can acquire risks once associated mainly with older codebases.
Read resourceThe Key-Person Risk in Software
A guide to bus factor, single-developer dependency, software business continuity, concentrated knowledge, and the operational risk created when one person becomes part of the system.
Read resourceYou Cannot Refactor Your Way Out of a Culture Problem
Why technical debt is shaped by incentives, deadlines, ownership, governance, and decision-making as much as by code quality.
Read resourceA Technical Debt Glossary
An authoritative reference to technical debt terminology including architecture debt, dependency debt, cognitive debt, ownership debt, maintenance debt, refactoring, code smell, shadow IT, software governance, and technical due diligence.
Read resourceAI, LLMs, Vibe Coding & Shadow Software
AI changes the economics of software creation. These resources focus on the gap between how quickly organizations can build software and how quickly they can understand, govern, maintain, and safely own what gets built.
AI Technical Debt: A Practical Guide for Business Leaders
A practical guide to technical debt created or accelerated by AI-assisted development, including ownership, review, documentation, architecture, maintainability, and governance.
Read resourceVibe Coding in Business: Risks, Governance, and Technical Debt
When AI-assisted experimentation becomes infrastructure, what risks appear, and what basic governance should exist once other people depend on the result.
Read resourceShadow IT Is Becoming Shadow Software
How traditional shadow IT evolves when employees can create applications, automations, dashboards, integrations, and internal tools without going through a conventional software process.
Read resourceArtificial Intelligence Glossary
A broad AI reference spanning machine learning, deep learning, computer vision, autonomy, robotics, reinforcement learning, symbolic AI, generative AI, safety, researchers, and landmark projects.
Read resourceLarge Language Model Glossary
A dedicated reference for Transformer architecture, tokenization, pretraining, scaling, alignment, RLHF, RAG, agents, inference, evaluation, LLM researchers, and landmark projects.
Read resourceNobody Knows What Dave Built
A memorable introduction to the continuity problem created when useful employee-built software quietly becomes business infrastructure and one person becomes the documentation, support desk, and recovery plan.
Read resourceTechnical Debt by Industry
Technical debt has a different operational shape in every industry. These guides focus on the actual systems, handoffs, integrations, data flows, vendor dependencies, and continuity risks that matter inside specific types of organizations.
Technical Debt in Professional Services Firms
How CRM, billing, project systems, knowledge tools, spreadsheets, client portals, automations, and AI workflows become an unacknowledged software estate inside professional services firms.
Read resourceTechnical Debt in Healthcare Practices and Healthcare SMBs
A healthcare-focused guide to the software architecture around the EHR, including integrations, portals, scheduling, billing, patient data, vendor systems, continuity, and AI-assisted workflows.
Read resourceTechnical Debt in Insurance Agencies and Brokers
How agency management systems, carrier portals, CRM, spreadsheets, automation, data movement, and AI create technical debt across the insurance operating model.
Read resourceTechnical Debt in Manufacturing
A guide to technical debt across ERP, MES, OT, legacy interfaces, plant systems, vendor dependencies, industrial integrations, recovery, and AI-assisted operations.
Read resourceTechnical Debt in Financial Services Firms
How formal compliance systems intersect with the actual operating stack of integrations, data transformations, spreadsheets, vendors, internal tools, and AI-assisted workflows.
Read resourceTechnical Debt in Marketing and Advertising
How martech sprawl, customer-data flows, attribution, campaign automation, agency dependencies, CRM, analytics, APIs, and AI create a distributed application architecture.
Read resourceTechnical Debt in Retail Sales
A retail guide to ecommerce, POS, inventory, pricing, payments, fulfillment, loyalty, customer identity, third-party apps, and the integration debt required to make multiple channels behave like one business.
Read resourceTechnical Debt in Real Estate
How CRM, lead flow, transaction systems, e-signature, property management, reporting models, document workflows, vendor platforms, and key-person knowledge create software risk.
Read resourceTechnical Debt in Logistics and Transportation
A guide to TMS, WMS, EDI, APIs, telematics, dispatch, tracking, freight audit, customer integrations, vendor dependencies, and continuity across logistics operations.
Read resourceTechnical Debt Before the Next Round
Startups are supposed to move quickly. Investors are supposed to understand what they are underwriting. These resources focus on the technical debt, AI-assisted development, key-person dependence, architecture, and continuity questions that become important around fundraising, technical diligence, enterprise sales, and acquisition.
Technical Debt Before Series A: What Founders Should Know
A pre-Series A guide to the architecture, ownership, documentation, security, AI-generated code, maintainability, and diligence questions founders should understand before the next round.
Read resourceFor Startups
TDA's startup perspective on technical debt, AI-assisted development, maintainability, scaling, customer diligence, and the tradeoffs that matter when speed is still a strategic advantage.
Read resourcePre-Series A Technical Debt Audit Discount
A discounted first Technical Debt Audit for qualifying pre-Series A startups that want a focused independent view before diligence, enterprise sales, team growth, or the next funding round.
Read resourceFor Investors
An investor-focused view of software risk, technical debt, AI-assisted development, architecture concentration, key-person exposure, and the future cost of change.
Read resourceTechnical Debt Audit
The core TDA assessment used to surface technical and organizational risk across architecture, dependencies, maintainability, security, ownership, documentation, deployment, and continuity.
Read resourceAdvanced Technical Debt Scorecard
A structured self-assessment for organizations that want an initial read on technical debt exposure before deciding whether a deeper independent review is warranted.
Read resourceStart with the software the business cannot afford to misunderstand.
A Technical Debt Audit is a focused independent review of architecture, dependencies, AI-assisted development, security, documentation, maintainability, ownership, deployment, and continuity.