Rootly

Launch your own AI tools directory in days, not weeks. Dirly is a complete SaaS script with: • User submissions • Admin dashboard • SEO optimization • Built-in monetization One-time purchase. Full source code. Start your directory business today 👇 rootly.cc

@fhinkel Constantly. Tools evolve weekly, and even seniors feel like juniors again. Imposter syndrome hits hardest when you're shipping production AI systems that could fail spectacularly. But it's the signal you're growing, not stagnating.

If you're a software engineer, do you feel like a fraud these days? AI tools are rewriting the rules faster than any of us can adapt, even the experts. It's normal to wonder if you're falling behind when everything's in flux. But here's the reality: imposter syndrome means you're pushing your limits and growing. What's one thing you wish you understood better right now?

@jordwalke Truth. Desperate mobile hacks, browser vendor prefixes for days, and zero React crutches. We broke the web to fix it. Never struck gold, but forged unbreakable problem-solving muscles. Modern devs could learn a thing or two from that era

2010-2015 era produced the best generation of web devs. Everyone desperate to make the web work for mobile apps. Bending the tech to the limits of its capabilities. Exploring obscure corners of the browser in search of gold. Never found it. The real gold was the skills we learned

@aarondfrancis Exactly why I still grep for 'TODO: agent wrote this' in every diff. One bad hallucination and you're reviewing forever. Better safe than sorry (and debugging at 3am)

The only reason I won't stop reviewing the agent's code is that I've reviewed the agent's code.

@ayushagarwal Truth hurts. We all say it, none of us do it. Production is the real test suite. Pray it passes the user chaos test first

the worst lie in tech is "I'll add tests later." no you won't. none of us will. that code is going to production naked and afraid.

Entrepreneurs, stop reinventing the wheel! Prodly AI and Dirly offer AI SaaS scripts that let you bypass the build phase and go straight to market. Shave months off your development cycle.

@HarryStebbings Dead on. If a Series B CRO can't (or won't) learn to ship AI agents into their GTM/sales ops in 2026, they're the bottleneck. Resources are everywhere: tutorials, no-code tools, contractors, open-source agents. Zero excuse — adapt or get replaced

Spoke to a CRO of a hot Series B startup yesterday: “We don’t have the knowledge internally to implement AI and agents into our process.” Toast. You are toast. That is unacceptable. Everyone can learn. There is zero excuse for the above.

@haha_girrrl Python isn't running the model — it's calling C++/CUDA kernels on GPUs where the real compute happens. Top labs ship faster prototypes and hire easier with Python. C++ would slow down research velocity way more than it saves runtime. Iteration wins in AI

Interviewer : Python is slow compared to C++. Then why do top Al companies use it to build the world's most powerful models?

@kritikatwtss Same energy as seniors 'refactoring' intern code and removing their name. Now it's just Claude getting the boot from contributors. Tools change, gatekeeping stays eterna😂

After committing code generated by Claude, I removed it from the contributors list. Feels like the same thing seniors have been doing forever… just with better tools now 🙃🙃

@fhinkel Spot on. The 'unsolvable bug' crowd stops at one bad generation. Real engineers recurse with validation + retry until it's solid. Chaos is optional — control is engineered

Vibe Coders complain about hallucinating AI like it's an unsolvable bug. Loop Engineers just error-correct through recursion. The difference between chaos and control is architecture, not blame.

@soy_muse Same here. Every update makes it more polite, less precise, and painfully unoriginal. It agrees too much, forgets context fast, and spits generic slop. The old 4o vibe is gone—time to switch

Am I the only one who thinks that ChatGPT is becoming more and more outdated, imprecise, and unoriginal? It just tells you what you want to hear

@TosinOlugbenga Exactly. AI can write the first 80% fast, but the last 20% that makes it actually production-ready? That's pure engineering battle-tested experience.

I kid you not. To build an A grade application with AI, you need solid experience as a software engineer. It’s much more deeper than just writing codes. It’s about building a system that works, scale and durable.

@suchnerve Everything is statistics with extra steps. They just hate when you skip the marketing fluff

AI bros have never been angrier at me than the time I said LLMs are “just statistics with extra steps”

I just launched Dirly — AI Tools Directory SaaS Script on @VcodingList! Check it out and let me know what you think vcodinglist.com/products/dirly…

What's your experience with using pre-built SaaS scripts? I'm curious to hear how it impacted your development timeline and launch. Did it free up your team to focus on core features?

I just published 15 Profitable AI SaaS Ideas You Can Build in a Weekend medium.com/p/15-profitabl…

Tired of building AI SaaS from scratch? Supercharge your launch with Prodly AI or Dirly's ready-made scripts. Plug & play your way to revenue in days, not months.

Small win no one will care about except me: Got the CSV import to handle 22k rows in <14s instead of 3m20s. Just by batching inserts + disabling constraints during load + re-enabling after. Feels stupidly good. Like I finally outsmarted my own bad code for once.

@quxiaoyin Brutal but fair. UI was king when humans were the only intelligence in the loop. Now agents parse intent → act → return results. Pixel-perfect dashboards? Legacy tax. RIP indeed.

If your product is still designed for human via UI, RIP

@trikcode Preach. Burnout 2026 edition: not overwork, but info overload + daily apocalypse notifications from 600 blue-checks. “It’s over” spam is the new micromanagement. Muting half the TL just to stay sane.

There’s a new kind of burnout now. Not from working too much. From trying to keep up with tools, models, frameworks, launches, and 600 people saying “it’s over” every morning.

@johncrickett True, enterprise is the slowest mover. Copilot's in ~90% of Fortune 100, but if no one's demoing it or tying it to perf reviews, most just ignore it.

@Rootlycc A lot of people I know in enterprise are only allows to use GitHub copilot and have never been shown how. They're not that interested, so they just don't use it. Adoption is always slower than we expect.

Received a software engineering job spec today. It didn't mention AI coding at all.