Field notes, deep dives, and practical takes on engineering, design, and AI.
You don't need a research lab to put AI to work. A step-by-step playbook for finding the right first use case and shipping it without wasting budget.
A transparent breakdown of what drives mobile app cost in 2026 — scope, platform, design, and the hidden line items most quotes leave out.
Off-the-shelf is faster and cheaper — until it isn't. How to decide whether to buy a SaaS tool or build custom software for your business.
Good design isn't decoration — it's revenue. How we approach UX and UI to turn a website or app from a brochure into a conversion engine.
For the first time in 3.5 years ChatGPT is below 50% market share. Why model comparison is the new normal — and how to build and get found across all of them.
A new attack hijacked AI coding agents at 2,388 companies through fake error reports. What agentjacking is, and how to keep your agents safe.
TCS and DXC just committed their workforces to deploying Claude in mission-critical systems. Why enterprise AI is now won on deployment, not demos.
An open-weight model just beat GPT-5.5 at a sixth of the cost. How the new price math changes build-vs-buy and why routing beats loyalty.
Anthropic studied 400,000 coding sessions and found domain expertise beat raw coding skill. What that means for how you hire and staff in the agent era.
GEO is the new SEO. Here's how to make AI assistants quote and recommend your business inside their answers.
Where AI agents actually pay back in operations — and the one-workflow-at-a-time playbook that proves it.
What MCP is, why 10,000+ servers now run in production, and how to adopt it without shipping a security hole.
Agents now browse, click, and buy on behalf of users. Here's how to build a site they can read — and recommend.
Reasoning models, multimodal agents, and the quiet rise of small open-weights.
The frameworks, runtimes, and tooling we reach for when starting a new product this year.
Where AI actually moves the needle on operations — and where it just adds expensive theater.
Architectural patterns we reach for when reliability matters from the first user.
Evaluation, guardrails, and a practical workflow for production AI.
How we balance brand expression with usability in product UI.
The discovery sprint we run to compress timelines without cutting corners.
How consolidating code into a single repo improved our velocity and DX.
A practical scorecard we use when choosing between OpenAI, Anthropic, and open models.
