Alec Below

Your coding agent shouldn't spend 5 minutes on pip install before it writes a single line of code. We cut agent startup from minutes to seconds by pre-warming Docker containers with dependencies already installed. Here's how: https://lnkd.in/gd9DYMmC

5

“Low-code” making your head hurt? Yeah, we get it. But needing a UI—and getting sucked into JavaScript frameworks—is even worse. We tested Datadog App Builder and (spoiler alert) didn’t want to like it—but it surprised us. ✅ Real apps inside Datadog ✅ Vanilla JavaScript, no front-end pain ✅ Fast, useful, interactive builds Here’s our real take on App Builder—check out the blog: https://lnkd.in/eBnuDHFp Need a little help? Let’s talk: https://lnkd.in/epPqedUi #Datadog #LowCode #DevTools #Observability #NoBS

10

The Claude Code skill ecosystem passed over 5,700 skills on OpenClaw with 145K+ GitHub stars in just two weeks. Hosted API clones are spinning up. Desktop plugin support shipped. An investor watched a live demo of /last30days and lost his mind on camera. Distribution is happening in realtime. But monetization still seems super unclear. Right now, skill creators ship for free and hope for GitHub stars. The best ones get cloned into hosted services by other companies within days. There is no native payment layer - no way for a skill to charge for usage at the point of execution. One community member already connected the dots: x402 micropayments as the revenue model for skills. Every skill becomes a micro-business with one line of payment code. No API key setup for end users, no subscription management, no billing infrastructure. Just HTTP 402 — the browser-native payment status code that has waited 30 years for its moment. The skill economy is real. The app store moment is here. What is missing is the cash register. x402 was purpose-built for exactly this: frictionless micropayments for any digital service over HTTP. One line of code to accept digital dollars. The ecosystem that solves monetization first will own the next wave of AI-native distribution. We've built a skill internally that let's any agent discovery x402 enabled resources. If this feels applicable to you, we'd love to hear from you.

1

🚀 From 𝗟𝗼𝘄 𝗖𝗼𝗱𝗲 to 𝗩𝗶𝗯𝗲 𝗖𝗼𝗱𝗲: 𝘉𝘳𝘪𝘥𝘨𝘪𝘯𝘨 𝘵𝘩𝘦 𝘎𝘢𝘱 𝘧𝘰𝘳 𝘐𝘯𝘵𝘦𝘳𝘯𝘢𝘭 𝘛𝘰𝘰𝘭𝘴 If you’ve ever built internal tools at scale, you know the pain: permissions, deployments, auth, UI boilerplate… just to change a username in an admin panel. Low-code platforms like Retool made this effortless—fast prototyping, built-in auth, and integrations. But then came vibe coding: AI-assisted code generation that can build features in days, not weeks. 𝗠𝗮𝗴𝗶𝗰... until it’s time to deploy. Auth, permissions, staging, and change management suddenly became unavoidable headaches. 𝗧𝗵𝗲 𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻? 𝗔 𝗵𝘆𝗯𝗿𝗶𝗱 𝗮𝗽𝗽𝗿𝗼𝗮𝗰𝗵: ✅ Use low-code platforms for scaffolding, authentication, and deployment safety ✅ Use vibe-coded custom components for bespoke logic and UI With Retool custom React components, we can embed AI-generated code directly into production-ready internal tools—leveraging existing integrations, APIs, and SSO access while still enjoying the speed of AI-assisted development. Example: Our Video On Demand Analyzer connects to S3, Snowflake, and LLMs to process multi-hour transcripts in minutes—a project that would’ve taken weeks. The takeaway: Vibe coding = fast prototyping and custom logic Low-code platforms = secure, stable deployment and integrations Hybrid approach = the fastest, safest path from idea to production The future of software isn’t writing everything from scratch—it’s knowing what to let AI create and what guardrails to stand on. 💡 The teams that master both will thrive. #VibeCoding #LowCode #InternalTools #AI #SoftwareDevelopment #Retool #Productivity#Xmethod

12

The fastest way to signal "we're serious about Flutter" is not your stack. It's your constraints. Senior developers are trying to predict their day-to-day. I see a lot of founders who can't answer these: Release cadence. Performance bar (startup time, jank, app size). Native work expected in the next 6 months. Who owns incidents and hotfixes. If you can't answer those, the role is undefined. Tomorrow I'm posting the 2023–2025 store trend line.

23

1 Comment

JobRunr v8.4 is out, and it's a big win for the Kotlin ecosystem. 🚀 We fixed the Kotlin + Bazel lambda issue. If you were seeing NullPointerExceptions when enqueuing jobs, v8.4 handles those class-based SAM conversions properly. Special thanks to Jonathan Mohrbacher for reporting this issue and helping us find the root cause! What else is new: 👉 Auto-magic Serialization: KotlinxSerializationJsonMapper is now auto-configured via the Fluent API. 👉 Dashboard Upgrades: You can now filter failed jobs by Exception Type (massive time saver). 👉 Graceful Shutdowns: Pro users can now set custom shutdown periods if a StorageProvider goes sideways. 👉 And so many more small improvements Upgrading is super simple, just bump your version to 8.4.0. Link to our release blogpost can be found in the comments!

13

1 Comment