YOUR TEAM CAN GENERATE CODE FASTER. CAN IT OWN THE RESULT?
The assistant writes a plausible change. It passes a quick glance. Then somebody asks why the old system had that odd branch, whether the new test covers the real customer behavior, and who will explain the decision six months from now.
The first pass took seconds. The work it set in motion may take weeks.
This is where AI for software development gets interesting. The prize is not more output. It is more useful work completed, understood, tested, and ready to survive contact with a real product. The risk is that speed at the beginning hides a larger bill at the end.
AI4DEV is a live, online seminar with Howard Pearlmutter for the people who build software and the people who depend on them. Thursday, October 15, 2026, 2:00–4:00 p.m. Mountain Time. $250 per seat.
THE WORK AFTER THE FIRST ANSWER
AI can help you investigate inherited code, explore a requirement, prototype an idea, draft an implementation, examine tests, document a decision, or try interface alternatives. Used well, that range can expand what a developer or team is able to attempt.
But an answer can be polished and still miss the system it enters. The assistant may not know the customer exception, the failed migration, the security boundary, or the reason a previous design was rejected. An attractive prototype can persuade a room before anyone has agreed what it proves. A passing test can confirm the wrong assumption.
Someone still has to connect the output to context, verification, integration, release, and ownership. If you are the developer who inherits the change, the manager trying to increase throughput, or the product leader interpreting the demo, that connection is your work. It is also where a smart investment in AI can pay off—or where the apparent saving disappears.
AI4DEV gives that whole room a shared foundation. Howard will examine opportunities across the software-development lifecycle, build mental models for judging what tools do well and badly, and connect the technical possibilities to the human judgment that turns assistance into dependable development. This is for curious builders and skeptics alike. You do not have to pretend that every generated answer is brilliant, or that the tools have nothing to offer.
WHY LISTEN TO HOWARD?
Howard Pearlmutter has spent 51 paid years connecting emerging technology with working software and the people who rely on it, chiefly through companies he founded and more than 200 engagements. His development and consulting clients include NASA, Apple, Disney, Xerox, HP, Kodak, CBS, Fujitsu, CSC, Capital One, Symantec, and the Financial Times.
Teams at GM and Ford demanded a way to show sophisticated factory designs to their executives. Howard built the interactive software that turned complex models into animated management reports. Valtech trusted him to teach advanced Java architecture to professionals from JPMorgan, Goldman Sachs, Barclays, Orange, and EDS, then returned to him for strategic briefings. He has also been paid to present to professionals from IBM, AT&T, Oracle/Sun Microsystems, Intel, BT, T-Mobile/Deutsche Telekom, Nokia, NASA Ames, and many more across five continents.
His AI experience began before today's chatbots: LISP in 1974, FORTH from 1978, supercomputer research at MIT, parallel-computing research for NASA Ames, and commercial software built with extensible-language techniques. He still builds software and tools for this new AI era. He knows the difference between an impressive first result and a system people can use.
More recently, Telos Alliance expected about 20 people for his AI-for-product-development seminar. Forty-seven attended across software and hardware development, product and project leadership, executive roles, and skeptical viewpoints. John Schur, president of its Media Solutions division, praised Howard's ability to meet those concerns and show a careful path forward.
WHO SHOULD TAKE A SEAT?
The developer asked to move faster without lowering the bar. The architect who has to understand an inherited system. The test leader wondering which evidence matters. The manager balancing enthusiasm with resistance. The product leader who wants a prototype to reveal opportunity without disguising unfinished work. The professional investing personally in the value of their own judgment.
Come on your own. Or bring two or more colleagues who will work with the same AI output afterward. A shared conversation now can be worth far more than an isolated tool subscription.
Reserve your $250 seat: https://tixy.ticketspice.com/ai4dev-the-engineering-decisions-behind-ai-assisted-software
Explore the evidence-and-ownership path first: https://ai4dev-evidence.aigenexus.intelligency.us/
AI4DEV—AI for Software Development Organizations
Thursday, October 15, 2026 · 2:00–4:00 p.m. Mountain Time
Live online · $250 per person