Centercode @Centercode
Unlock the full potential of your products with our powerful beta testing and feedback management solutions ⚡️ Sign up for free today! centercode.com The Cloud Joined November 2008-
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Most dogfooding programs do two things well: collect issues and breed resentment. The best ones work differently. We pulled apart how real companies run internal testing that people actually want to join→ hubs.la/Q04l049L0
AI is changing how products get designed, built, and validated. Nobody's playbook covers all three. April's Product AI Summit dug into exactly that. Next up: San Francisco, Aug 12. Half a day, 3 original speakers, a Bay Area guest, dinner after. 🌉 → hubs.la/Q04k_Ys20
Three signs your hypothesis needs work: 1️⃣ No clear "wrong" condition. 2️⃣ No number. 3️⃣ No "because." Run yours through the Check function. 30 seconds. Try it free→ hubs.la/Q04jpbCr0
Every PM has a hypothesis they'd rather not show a researcher. Run yours through this first. Try the Check function free on Centercode Labs→ hubs.la/Q04jhpWl0
Everyone's an AI expert until you ask them to show their work. That's our CEO Luke Freiler up there right now at AI Tinkerers Orange County, sharing what building and validating with AI actually takes. Hands dirty, receipts included. We're a little proud. 👀
The most valuable thing a dogfooding program produces isn't the feedback. It's a company that genuinely understands its own product before launch. Support, sales, and marketing all get sharper. The bugs just come along for the ride. 🐶→ hubs.la/Q04jGMQj0
Hypothesis Helper has a Check function now. Paste it your idea, get a quality rating, feedback on what is and isn't working, and a sharper rewrite in about 30 seconds. Totally free to use and no signup required→ hubs.la/Q04jdB610
5 ways AI/ML breaks beta testing: 1. No "right answers" 2. Data privacy traps 3. Post-launch drift 4. Edge cases that won't reproduce 5. Bias hiding behind accuracy The fixes→ hubs.la/Q04h-B1Z0
Skipping alpha doesn't save time. It burns out your beta panel. Skipping beta doesn't save time. It surprises you with support tickets at launch. Alpha and beta answer different questions. Skip either one and the other does both jobs poorly→ hubs.la/Q04gTsDc0
Too detailed for your VP. Too vague for your team. Just right for nobody. So you wrote your sprint update three times. Status Report Assistant on Centercode Labs takes the inputs once and writes all three→ hubs.la/Q04gxBTh0
The signal exists. Support tickets, NPS, tester feedback, the occasional sales call. It just shows up 3+ weeks after you've shipped two more things on top of it. AI only sped up the "build and ship" half of the loop→ hubs.la/Q04g06bG0
The framework is a tool, not a deliverable. If you're filling out RACI for tasks a 5-minute Slack message resolves, the chart became the work. More on how to pick the right responsibility framework (and when to skip it)→ hubs.la/Q04fGdK20
RACI matrices die in Google Docs. RACI Reactor builds one in 60 seconds. Generate RACI, RAPID, DACI, or RASCI charts. Try it free on Centercode Labs, no accounts, no signup required→ hubs.la/Q04f8qXp0
Before AI, bad ideas died on the whiteboard. Now they ship. Thursday in Culver City, our CEO Luke Freiler talks AI slop, the habits creating it, and how to fix it. Hosted by AITP-LA. Dinner included. Register: hubs.la/Q04dMgmj0
"Disposable intelligence." That's how Brennan McEachran framed AI's impact at the Product AI Summit. When ideas are cheap to produce, what matters is knowing which ones to keep. Production gets faster. Taste becomes the bottleneck. Full recap→ hubs.la/Q04dDSjH0
Product AI Summit 2026 is a wrap. Three days of exploring how AI is forcing us to rethink the way we do product work. Closed it out with baby goat yoga and learning to make fresh mozzarella. This one felt different, in the best way. Thank you to everyone who made it happen.
Brennan McEachran is presenting right now at the Product AI Summit on a shift that’s already underway: engineers are moving from writing every line of code to directing intelligent systems that explore, experiment, verify, and ship on their own.
Brad Day is on stage at the Product AI Summit sharing how Centercode brought AI into our design and development process, and what it changed about how product and engineering work together. Real lessons from making the transition.
Jacob Faarkrog Christensen from Bang & Olufsen is on stage at the Product AI Summit. He’s sharing how B&O uses AI to transform customer feedback into actionable insights that drive product decisions. These systems keep feedback flowing across the entire product ecosystem.
Our own Rob Bridgman is taking the stage at the Product AI Summit to talk about something we’ve been living firsthand: turning AI disruption into actual products. Check out the results of those efforts: Labs.centercode.com
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