Architecture, AI-first delivery, hiring, due diligence. Long-form essays and short dispatches on the technical decisions that quietly shape startups -- written by an operator, not a content team.
The fractional-to-full-time CTO progression and how to know when you actually need a full-time engineering leader. Real examples from startups that waited too long and ones that hired too early, from 200+ client projects.
Read the article →Productivity gains, security risks, and which tools actually work - what engineering leaders need to know before rolling out AI coding assistants to a software …
The real math behind LLM inference costs, token pricing examples, caching strategies, and cost optimization tactics for startup founders building AI-powered products.
The cost, accuracy, and maintenance comparison between Retrieval Augmented Generation and fine-tuning for startup founders - a practical guide to choosing the right AI architecture.
The API-first approach to building AI features without data scientists or ML engineers - prompt engineering basics, when you actually need ML expertise, and what …
What AI coding tools actually change about software development, what the productivity data shows, and what skills your engineering team needs to develop to stay …
GPT-4o vs Claude vs open-source models - when each wins for a startup product, what the real capability and cost differences are, and how to …
Where AI adds real value in a product vs. where it is hype, real cost ranges, and a decision framework for non-technical founders considering AI …
Questions to ask AI vendors, benchmarks to run before committing, and the red flags that signal a vendor is selling hype rather than capability. From …
The real cost and control tradeoffs between OpenAI API, fine-tuning, and custom model training - a decision framework for founders from a fractional CTO who …
When GDPR applies to US startups, what the minimum compliance path looks like, and how to handle European users without building a full compliance program …
What startup data you need to back up, how often, how to test recovery, and what a realistic disaster recovery plan looks like when you …
What to monitor in your startup application, free and cheap tools that work, and two real examples of how lack of monitoring turned minor bugs …
Authentication, rate limiting, and data exposure explained for non-technical startup founders - what your API needs to be secure enough, and what "secure enough" actually …
What to do in the first 24 hours after a security breach - who to call, what not to do, legal obligations, and how to …
Infrastructure cost benchmarks by stage, common waste patterns in startup cloud spending, and practical optimization tactics from a fractional CTO who has audited hundreds of …
AWS, GCP, and Azure compared for early-stage startups - credits, ecosystem, scaling costs, and which one actually makes sense based on your situation. From 200+ …
Building a minimal viable CI/CD pipeline without a dedicated DevOps engineer - GitHub Actions setup, what to automate first, and what can wait until you …
Technical HIPAA requirements for health tech startups - what controls you actually need, the most common mistakes, and realistic cost estimates from a fractional CTO …
155 articles, 27+ tags. Pick a thread and pull.
One long-form essay a week. No spam, no SEO filler. Written by an operating CTO who's still shipping.