Notes from an
engineering partner.
Field notes on how a senior engineering team actually ships AI, software, cybersecurity, data, cloud, design, DevOps, and IoT in 2026, and where AI is changing the work itself.
AI audit for founders: what to assess before you invest more
An AI audit inventories every integration a business already runs, ranks the risk, and gives a defensible build-or-buy verdict before the next investment.
How AI is rewriting business operations, and where it still has to earn trust
AI is moving from demo to production inside operating businesses. What changes, and what to refuse, when intelligence becomes a load-bearing part of the stack.
Custom AI workflows vs off-the-shelf tools: when each one wins
The build-versus-buy call for AI is not the same as for software. Five questions that decide whether a custom workflow pays back, or whether the SaaS is the right answer.
Latest
Pillar articles,
one per engineering domain.
AI audit for founders: what to assess before you invest more
An AI audit inventories every integration a business already runs, ranks the risk, and gives a defensible build-or-buy verdict before the next investment.
How AI is rewriting business operations, and where it still has to earn trust
AI is moving from demo to production inside operating businesses. What changes, and what to refuse, when intelligence becomes a load-bearing part of the stack.
Custom AI workflows vs off-the-shelf tools: when each one wins
The build-versus-buy call for AI is not the same as for software. Five questions that decide whether a custom workflow pays back, or whether the SaaS is the right answer.
AI ROI for founders: measuring what AI is actually worth
A defensible framework for measuring AI return on investment: the baseline, the four metrics that count, and the failure modes that quietly destroy the business case.
From ChatGPT pilot to production AI: the engineering steps founders skip
The pilot worked on the founder's laptop. Production breaks differently. What the seven steps between a working demo and a deployed feature actually look like.
The OWASP LLM Top 10, translated for CEOs
Prompt injection, data leakage, model denial of service: the ten LLM risks every CEO running AI needs to understand, in plain language, with the cost of getting each one wrong.
AI for sales operations: where it ships, where it stalls
Lead scoring, follow-up sequences, call summaries, forecast hygiene: what AI actually moves inside a sales operation, what it does not, and the failure modes RevOps leaders see.
What modern software engineering actually delivers in 2026
Past the framework debates: how a senior team ships a web platform or mobile app that survives the second year, and where AI now changes the engineering itself.
Cybersecurity as code: how AI is changing both attackers and defenders
AI accelerates phishing, credential stuffing, and recon. It also accelerates detection, hardening, and triage. The discipline did not get easier; it got faster on both sides.
Data engineering meets AI: why trustworthy pipelines are the precondition
Every AI feature that holds up in production sits on top of a data layer you can defend. What it takes to build that layer, and how AI is reshaping the work itself.
Cloud management in the AI era: from cost-out to capability
Inference workloads, GPU spend, and data-residency rules are rewriting the cloud playbook. How to design infrastructure that holds up under AI-shaped load.
DevOps and automation: the operational layer that lets AI products ship
AI features change deploy cadence, observability needs, and incident response. The DevOps that supported a CRUD app does not survive a model-served endpoint.
Product design after the AI shift: what changes for users and teams
Generative interfaces, probabilistic outputs, and agentic flows break parts of the UX playbook. The patterns that hold, and the ones we are quietly retiring.
IoT and edge AI: when devices start making decisions on their own
Small models now run on cheap silicon, in the field, with no round-trip. What that unlocks for industrial, retail, and logistics operations, and the new failure modes.
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