Data Migration Best Practices: A Six-Phase Playbook for Enterprise Moves

Data migration best practices as a six-phase playbook for enterprise moves, from discovery to cutover and rollback, so your data lands intact.
Collage illustrating the four-part fit test for vibe coding internal tools

Internal Tools: The Four-Part Fit Test for Vibe Coding

A four-part fit test for internal tools: when vibe coding is safe to use, when it silently fails, and how to draw the line before you scale.

IT Infrastructure Audit: What to Check and How to Run It

An IT infrastructure audit checks hosting, databases, CI/CD, backups, network, and cloud cost. Here is exactly what to review and how to run one.
Poster-collage illustration of a cloud split into a healthy half and a cracked, money-leaking half, labelled misconfigured, overspent, and fragile

How to Audit Cloud Infrastructure: Cost, Security, and Fragility

A cloud infrastructure audit finds three things on AWS, Azure, and GCP: misconfiguration, overspend, and fragility. Here is what it checks, how it works, and when you need one.

Web Performance Audit: Finding What’s Slowing Your Site Down

A web performance audit finds what is slowing your site, from Core Web Vitals to servers and scripts, then ranks fixes by impact on speed and revenue.

Code Quality: How to Measure, Improve, and Keep It

Code quality decides how fast, cheap, and safely your software can change; here is how to measure it with four proven metrics, improve it, and keep it from slipping over time.

How to Automate Document Review with Claude

A document review pipeline either delivers or does not, and the gap between the two outcomes usually has nothing to do with model choice. It comes down to architecture decisions made in week one, prompt patterns chosen by use case, and a confidence routing strategy that survives contact with real documents.

How to Distill an LLM, Step by Step: The Teacher-Student Pipeline

Most tutorials make LLM distillation look like a weekend project. Forty lines of Hugging Face code, a BERT to DistilBERT swap, done. The real pipeline is a different scale of work. You pick a teacher you are legally allowed to use, generate a synthetic dataset that does not poison the student, train with LoRA, and prove the student did not quietly regress on the inputs your users actually send.

Building LLM Semantic Search Inside Your SaaS Product

When a user types a full question into your search bar and gets nothing useful back, they rarely rephrase and try again. They simply give up, and that friction compounds across every session and every account.

How to Develop a SaaS Product Without Building the Wrong Thing First: A Guide for Non-Technical Founders

Most SaaS products that fail were built correctly. They solved the wrong problem, or solved the right one in the wrong order, and the code worked perfectly the whole way down.

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