Tag: Productivity

  • Help Shape WordPress 6.8.2: How to Start Testing and Contributing

    🎥 Embedded Video:

    đź’¬ Summary:

    In this episode of Kinsta Talks, Aaron Jorbin shares how anyone who uses WordPress can start contributing — by testing the bugs targeted for the upcoming 6.8.2 release. Learn how to use the beta testing plugin, how to write helpful bug reports, and why your voice matters even if you’re not a developer. We wrap up with a short bonus on submitting to WordCamp US.

    đź’ˇ Key Quotes:

    • “Now is not the time to fix your personal wishlist bug. Now is the time to fix the problems introduced in 6.8.”
    • “It’s impossible to test every plugin combination. That’s why we need the community.”
    • “There’s no wrong way to report a bug. There’s just incomplete or unkind ways.”
    • “A video can be worth thousands of words. If you can’t describe it, record it.”

    đź”— Resources:

    📌 Call to Action:

    Help test WordPress 6.8.2 and make the web better.

    👉 Learn more about contributing

  • The Hard Easy

    I call it The Hard Easy—but really, it’s just a shift in perspective.

    We all know those moments when a task feels heavier than it is. Dishes in the sink. A report we meant to write. A sales call we’ve avoided for days. They seem small, but they carry weight. Emotional weight. Decision weight. And the longer we let them sit, the heavier they get.

    That’s the Hard Easy in action:
    Do the hard thing now, and it becomes easy later. Wait for it to “become easier,” and it only gets harder.

    Take the dishes. Right after dinner, they’re quick work—rinse, done. But leave them overnight? The food crusts. The water turns cold. The next day you’re scrubbing, not rinsing. Add in one late meeting or an unexpected phone call, and suddenly it’s a bigger problem than it ever needed to be.

    In work, it’s no different. Sales calls, for example. You know most people won’t answer. You know most who do won’t be thrilled. But if you build the habit, if you stay consistent, you’ll find the people who need what you offer. The hard part is starting. The easy part comes later—when results start to snowball.

    Or take writing a report. Wait too long and your memory fades. Details blur. But if you capture it while it’s fresh, everything flows more easily. The hard part is sitting down. The easy part is realizing how much you remember when you act quickly.

    The Hard Easy isn’t about hustle. It’s about momentum. And mercy—for your future self.

    So if you’re staring down something that feels heavy today, just remember:
    You’re not failing.
    You’re just on the edge of a moment.
    And you have a choice.

    What’s one “hard” thing you can do right now… that your future self will thank you for?

    (If you’re new here, this idea came from my intro post—feel free to start there.)

  • What Cooking Taught Me About Using AI Tools

    Early Food Memories

    I grew up around food. Not in a Michelin-star kitchen or a trendy farm-to-table bistro, but in my mom’s deli store—where we sold everything from stacked sandwiches to Beluga caviar. It wasn’t fancy, but it was serious about quality. We catered to some high-end tourists, and I got exposed to ingredients most kids didn’t know existed. Brie, Camembert, Muenster—you name it, I tried it.

    It’s a bit ironic now that I’m vegan, given how much cheese was part of my early palate, but that upbringing gave me an appreciation for good food and the craft of making it.

    The Chef That Wasn’t

    That appreciation followed me for a while. I worked in kitchens during college and even considered culinary school. But after enough shifts in hot commercial kitchens—sweating over fryers, sprinting through prep lists, getting burned both literally and metaphorically—I realized professional cooking might not be the dream. Hard work, low pay, and not enough creative spark for me.

    Much later, I flirted with the idea of becoming a vegetable farmer. That dream wilted too, once I understood how truly hard farming is. Again, deep respect. Again, not quite my path.

    Why This Matters Now

    So why bring all this up on a blog about media and technology?

    Because every experience we have—failed careers, childhood snacks, prep shifts in hot kitchens—builds the lens through which we see the world. Lately, I’ve been thinking a lot about how large language models like ChatGPT fit into that lens. And one answer I keep circling back to is this:

    They’re most useful when you bring something to the table.

    The Art of Prep (and Prompting)

    Let me explain. I’ve been using ChatGPT to help me with meal planning. Not just one-off recipe suggestions, but complete weekly meal plans: multiple dinners, tailored to our diet (vegan), with full ingredient lists, caloric targets, and bulk prep checklists.

    Last week it gave me five solid meals: zucchini fritters, a butternut lentil shepherd’s pie, a Thai-style curry, a stir-fry, and something I’m now forgetting—but all delicious. I gave it the ingredients I had on hand, asked for meals to serve four, and it generated the full plan, shopping list, and prep workflow.

    I spent Sunday doing all the bulk prep—chopping, steaming, roasting. Just like a line cook in a restaurant. The biggest difference between home cooking and restaurant cooking is preparation. Once you have things chopped and portioned, making a meal on a Tuesday night takes 20 minutes instead of 60.

    The Festival Twist

    This week was different. Kate and I are heading to a bluegrass festival halfway through the week, so I had ChatGPT help me create four one-pot meals we could reheat easily in a trailer. We froze some, packed others, and just like that, festival food was solved.

    Was it perfect? No. The shopping list still takes some cleanup. Getting it into Apple Reminders involves a little copy-paste dance. But the value is there—and it keeps getting better.

    Experience Still Matters

    Here’s the key point though: this works because I know how to cook. I’ve been cooking for over 40 years. I can glance at a recipe and tell if it’s going to work—or not. I’ve chopped every vegetable under the sun, cooked rice a thousand ways, burned things and salvaged them. That experience matters.

    LLMs don’t replace knowledge. They amplify it.

    If you don’t know the difference between sauté and simmer, it won’t matter how good the recipe looks. If you can’t taste for salt, AI won’t help you. But if you’ve got some knowledge—just enough to see patterns, evaluate options, and tweak where needed—then these tools can be transformative.

    The Tools Are Here. Use Them.

    There’s a lot of debate out there about AI tools. Some people think they’re going to take over the world. Others think they’re glorified spell checkers. I live somewhere in the big, messy middle. They’re not magic. They’re not junk. They’re useful.

    You don’t need to be a technologist to try them. Just be curious. Give them something to work with. Treat them like a very fast, mildly unreliable intern. And then—like in cooking—trust your taste.

    Explore. Experiment. Prompt boldly. Adjust generously.

    Who knows? You might end up with a perfect zucchini fritter. Or a new way of thinking.