DEVPRO Journal

BlueStar today announced that it has entered into a definitive agreement to be acquired by TD SYNNEX (NYSE: SNX), a leading global technology distributor. The transaction marks a significant milestone in BlueStar's history and reflects the strength of the company, its people and the specialized value it has delivered to customers, OEM vendors and channel partners for decades.

If you wait for a request for proposal (RFP) to land in your inbox, you're already behind. By the time an RFP goes public, the buyer has usually decided what problem they're solving, roughly what it should cost, and which vendors they already trust. For smaller developers, that means the real competition for 2027 deals is happening right now, in Q4, while budgets are being finalized and requirements are being drafted. The good news is that you still have time to be part of that conversation.

If your software touches a checkout page, a billing portal, or an invoice, your next big fraud problem probably won't look like fraud at all. Indeed, AI agents are now comparing prices, filling carts, and completing purchases on behalf of consumers and businesses. Visa has predicted that millions of consumers will use AI agents to complete purchases by the 2026 holiday season, which means the agent traffic reaching your merchant customers this quarter isn't a pilot, it's production.

Enterprise software testing is changing faster than at any point in two decades, and the way companies choose their tools is changing with it. A few years ago, evaluation meant comparing commercial platforms against one another: feature lists, demos, research, pick the closest fit. That is no longer the whole picture. Agentic AI and open frameworks have turned the decision into an architectural one. Teams now weigh questions like: Build on Playwright with Claude?

If you build software for retail, warehousing, or hospitality, you've probably integrated radio frequency identification (RFID) at some point, or you may be competing with someone who has. RFID has become quite established and standardized, with many applications supporting it. That's fantastic for customers, but it can make it challenging for developers trying to stand out. On the other hand, Ambient Internet of Things (IoT) is a different story.

During the emerging technologies panel at BlueStar's VARTECH 2026 show at Mohegan Sun in Uncasville, Connecticut, the conversation kept returning to a practical question. How do technology providers turn new capabilities into a sustainable business? The panel was aimed largely at resellers, but I heard plenty that independent software vendors (ISVs) should take to heart.

An AI tool that helps an employee finish a task faster is useful. An AI-enabled process that changes how you build, sell and support your software can change your entire business. That distinction was my biggest takeaway from Greg Buzek's presentation at BlueStar's VARTECH event last week at Mohegan Sun in Uncasville, Connecticut. The IHL Group president challenged attendees to look beyond individual productivity and consider how their organizations would operate with AI at the core of the work.

If your software company follows a calendar year cycle, your cyber insurance renewal is approaching quickly. Previously, it was often a simple matter of checking a few boxes on a questionnaire, paying your premium, and then moving forward. Those simpler days are, unfortunately, behind us. Today, cyber insurance providers see ISVs as a higher risk. Since you develop software that other companies rely on, even a small vulnerability or a network breach could impact hundreds of clients downstream.

VARTECH 2026 attendees stepped into the Mohegan Sun convention center, expecting the usual updates on hardware roadmaps and channel strategies. Instead, they were greeted by keynote speaker Ben Nemtin opened with a missed rugby pitch. It turned out to be one of the most talked-about moments of the day, sparking conversations that went beyond sports. It made everyone pause and think: what are we really building all of this for?

A team rolls out AI coding tools and the dashboard looks like a clean win. Task throughput per developer climbs. Epics completed jump by two-thirds. Pull request merge rate ticks upward. Every number that goes into the board deck is moving in the right direction. Now look at what is happening behind that dashboard. Median time a pull request sits waiting for review rises more than four times over. Pull requests that merge with no review at all rise by nearly a third.