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- SaaSykit 2nd Birthday SALE 🎉, Laravel Model Tips, How to Use AI Without Losing Your Mind, State of AI Agents 2026 & more
SaaSykit 2nd Birthday SALE 🎉, Laravel Model Tips, How to Use AI Without Losing Your Mind, State of AI Agents 2026 & more
Ahmad
April 12, 2026
Hey Makers 👋
SaaSykit just turned 2 years old 🎉
What started as a simple idea — helping developers skip the repetitive groundwork — has grown into a solid foundation used by hundreds of developers to launch real SaaS products.
To celebrate, I’m offering 20% off the SaaSykit Complete package for a limited time 🚀
If you’ve been thinking about building your own SaaS, this is the perfect moment to start — without wasting weeks (or months) rebuilding authentication, billing, teams, and all the usual boilerplate.
Join 860+ developers already using SaaSykit to move faster and focus on what actually matters: building products people pay for.
Get SaaSykit Complete at 20% off (code “SAASYKIT2YEARS“) and start building your next SaaS today.
Now, let’s take a look at what’s new in the Laravel & SaaS world 👇
From the Community
Pretty PHP Info is a package by Joseph Szobody of Signature Tech Studio that replaces the default phpinfo() output with a modern, searchable UI — and adds a PHP API for querying your PHP configuration programmatically.
The simplest way to use it is the prettyphpinfo() drop-in function:
Our support agent can talk to customers and classify tickets. But ask it "where's my order?" and it makes something up. A confident, detailed, completely fabricated answer. It has no connection to our database.
Testing in Laravel is so easy, sometimes we forget how tricky it can be to test code that isn't well-behaved.
For example, let's say an application is using the older MPDF library to generate and download a PDF from inside a Laravel controller.
The expectation is that MPDF will completely manage the response, so we cannot allow Laravel to generate anything in the response. We need our controller to exit abruptly after calling OutputHttpDownload on the MPDF object.
Two malicious versions of the popular axios HTTP client library were published to npm on March 30–31, 2026, after an attacker compromised a maintainer's account. The affected versions, [email protected] and [email protected], installed a remote access trojan (RAT) on developer machines across macOS, Windows, and Linux.
Laravel provides a huge amount of cool features that help improve our development experience (DX). But with the regular releases, stresses of day-to-day work, and the vast amount of features available, it's easy to miss some of the lesser-known features that can help improve our code.
Seeders allow us to quickly fill our database with records to test our application. Let's say that you need a couple of users to test your authentication system—you could create them manually using your app's register page or Tinker, but running a command to generate them is much faster.
The first step in optimizing the database performance of a Laravel application is to effectively measure its performance. Several tools can help with this, with the most common being Laravel Debug Bar. Additionally, I highly recommend using Laravel Telescope for deeper insights.
All about SaaS
Over the last 18 months, some people have hit another gear with AI. They’re moving faster and shipping more without sacrificing quality.
But thanks to the relentless AI hype machine, many others have not only failed to improve, but have actually gone backward. They’ve lost focus, wasted time, and shipped slop that undermines the trust of the people they work with.
Out-Of-Pocket is 6 years old now. This is my first real company, I’m not including flipping calculators and my shoe painting business. I’ve learned some stuff about running a company in that time that no one told me about.
Simultaneously, I’ve also spent a lot of time as a venting/soundboard partner for many founders. I just give “trauma dumping” vibes, I think it’s the smile. So, I’ve heard an incredibly long list of issues they’ve faced.
Most investors don’t have an analysis problem. They have a filtering problem.
Ideas come in at a rapid pace:
Posts on social media or investment sites
Newspapers/business press
10K’s and other filings
Screens or published lists of stocks meeting certain criteria
General scuttlebutt
We’re entering a new era of enterprise AI: agentic architectures that produce outcomes accurate for enterprise use cases. These architectures often pair foundation models with enterprise context and tools to independently plan and take action.
I’ve been in tech long enough to think I’d already lived through the big shifts.
We went from on-prem to cloud. Then came digital transformation, where every company suddenly needed to become a software company (whether they had any business doing so or not). Entire stacks got rebuilt - .NET stopped feeling inevitable, Python spread everywhere, and everyone got weirdly excited about Next.js. Mobile came in hot (B2B, naturally, is still deciding whether a phone is a real device). Recurring revenue became our SaaS religion. Remote work exploded, then partially un-exploded. Product-led growth rewired how companies scaled.
Videos
Keep building, keep rocking! 🤘