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Articles by Hadil Ben Abdallah
Your Login Works. Now Prove Who Did What
Keycloak audit logs help SaaS teams understand who did what, when an action happened, and which account or system performed it. Authentication tells you that someone successfully logged in. It doesn't automatically give you a complete record of what happened after that login. Imagine a customer reports that an employee's account was removed, an administrator's permissions changed, or access to a sensitive resource was modified.
OpenRouter Alternatives: 5 AI API Gateways Worth Considering in 2026
When an application sends requests to more than one AI model, keeping those integrations organized quickly becomes its own engineering problem. OpenRouter solves this by giving developers a single API for routing requests across hundreds of models. It is one of the most widely used options for multi-model access, and for many developers it works well enough that they never look further. The cases where it falls short are usually specific.
Your Website Has a Design System. Does Your Marketing Team Have a Content System?
A marketing content system gives your team a reliable way to create, organize, update, and publish website content. Your design system may already define colors, typography, buttons, spacing, and reusable page components. But those rules don't explain who owns a landing page, how messaging stays consistent, or what happens when five people need to update different parts of the website. This gap becomes noticeable as a company grows.
gp-grid: A Free, Open-Source TypeScript Data Grid for React, Vue, and Angular (No Paywalled Features)
An open-source data grid can look impressive with 1,000 rows and still struggle when your application needs to handle 100,000 or more. The same goes for features: you might find sorting and filtering in a free library, only to discover that row grouping, pivot tables, or other advanced capabilities require an enterprise license. gp-grid takes a different approach. It is an open-source TypeScript data grid for React, Vue, and Angular, released under the Apache 2.0 license.
Your SaaS Has 10,000 Users. Who Removes Their Access When They Leave?
SaaS user deprovisioning is one of those responsibilities that's easy to overlook when you're building an authentication system. A user leaves a customerβs company, an administrator removes their account, and everyone assumes their access has been taken care of. But has it? Imagine your SaaS product has 10,000 users across hundreds of customer organizations. One of those customers tells you that an employee has left the company.
Your Form Says “Submitted”. So Where Did the Lead Go?
Lead tracking should tell you what happens after someone fills out a form on your website. But what happens when a visitor sees a confirmation message, your analytics records a conversion, and the lead never appears in your CRM? For B2B SaaS marketing teams, this gap can create a serious blind spot. A campaign may appear to generate leads, yet sales sees fewer contacts than expected.
Top 5 Open Source LLM Gateways
When an application uses AI models from multiple providers, having a good open source LLM gateway can make a huge difference in how applications perform. An LLM gateway gives applications a central way to manage model requests, handle provider-specific integrations, and apply routing and usage policies without spreading that logic across the codebase. For engineering teams, open source offers greater control over the infrastructure handling AI traffic.
Best Open Source React Calendar Libraries for Scheduling in 2026
The best open source React calendar libraries depend on what you're building. The need for a simple date picker within a booking form is naturally quite distinct than that of a team calendar application that allows the users to drag and drop events to manage their schedule. This matters a lot because the React calendar components cater to various needs.
Where Do Your Users' Passwords Actually Live? Self-Hosted vs Managed Keycloak
Choosing between self-hosted and managed Keycloak affects more than where your identity service runs. It determines who maintains the infrastructure, who handles security updates, and how much responsibility your team takes on when users need to authenticate. When you add authentication to an application, it's easy to focus on the login screen. You choose between passwords and passkeys, connect an identity provider, and make sure users can access their accounts.
Stop Shipping Marketing Pages Like Product Features
A marketing page workflow should help your team launch campaigns, update messaging, and improve conversions without turning every small website change into a development project. Yet, in many B2B SaaS companies, updating a headline, adding a customer story, or launching a new landing page can require the same process as shipping a product feature. Marketing submits a request, engineering reviews it, priorities compete for attention, and a simple update waits in the backlog.
I Heard AI Could Build Its Own UI, So I Tried Open Intelligent UI
Artificial intelligence has changed the way by which developers are making applications, which range from code generation and debugging tasks to assisting clients in searching for information and automating various tasks. However, AI applications can provide more than just answers. The applications can also give information through interfaces which contain elements needed to realize the tasks of users. This is where generative UI comes in.
I Removed Passwords From My App. Here’s What the Login Flow Looks Like Now
Most applications eventually face login problems that have little to do with their core purpose. Users forget passwords, reuse credentials, and struggle with account recovery. Meanwhile, developers must consider credential security, brute-force protection, and session management. This is the reason why I started looking into passwordless authentication and how passkeys can potentially alter the login experience.
Your Marketing Site Has 40 Scripts. Which Ones Are Actually Worth Keeping?
Third-party scripts are easy to accumulate on a marketing website. A site might start with GA4 for analytics, a cookie banner, and a chat widget. A year or two later, the list can look very different. There’s a tag manager, heatmaps, session recordings, A/B testing, ad pixels, a CRM integration, a chatbot, a scheduling tool, a consent platform, embedded videos, social widgets, product analytics, and other tools. Each one had a reason to exist.
You’re a Real Python Developer Only If...
A few months ago, I published You're a Real JavaScript Developer Only If... It was supposed to be a little post for fun. You know, just a few things JavaScript developers could laugh about before going back to fighting their bugs 😅 But the community loved it, and the comments made me realize that developers have an incredible talent for turning their daily struggles into comedy.
5 Best AI Gateways
Choosing between the best AI gateways is not just about getting a way to call an LLM. In real deployments, teams face more than one model vendor. Models can change over time. Traffic is not steady. Token prices keep going up. Agent style workflows can get hard to manage. A gateway lets engineers manage these moving parts in one spot, instead of writing provider-specific code across the app. Still, not every gateway is meant for the same job.
Your Code Editor Says More About You Than You Think
You might think that your code editor is just a tool you're using to write code, but I think it's a personality type, a lifestyle choice... If you disagree, you might be using Notepad. And in that case, I think you need help π Let's see which one you're using. 1. VS Code I think this is the king of the modern dev jungle.
Top 5 AI Governance Tools for Enterprises in 2026: A Practical Comparison
AI is becoming part of almost every layer of an enterprise. Employees are using AI assistants. Developers are connecting coding agents to internal systems. Applications are calling multiple models behind the scenes. Agents can now invoke tools, access data, and take actions with very little human involvement. That creates a governance problem that goes far beyond choosing a model. Who can use which AI system? What data can it access? Which models and tools are approved? How are AI risks assessed?
7 Lies PMs Tell Engineers
If you work with software engineers long enough, you start noticing something strange. PMs have a special talent. They can take a sentence that sounds completely harmless and make an engineer's entire afternoon disappear. To be fair, most PMs aren't actually trying to lie to engineers. Sometimes they genuinely don't know how some things are complicated. But after hearing the same sentences over and over again, you start developing a little internal translator.
Learn Programming by Building Real Projects With Hyperskill
Learn Programming by Building Real Projects With Hyperskill
Stop Watching Coding Tutorials: Learn by Building Real Projects With Hyperskill
Learning to code can feel easy at first. You watch a lesson, understand a new concept, solve a few exercises, and you start feeling like you have made progress. Then you open a blank editor and try to build something on your own, and knowing how a loop, API, database, or class works does not feel quite as useful as it did five minutes ago.
Nexpath Review: Can an AI Prompt Quality Layer Make AI Coding Safer?
AI coding tools have made it easy to go from an idea to working code. You describe what you want, send the prompt, and a few moments later you have files, components, logic, and sometimes an entire working app. That speed is great until the prompt leaves something important unsaid. Maybe the requirement is too vague. Maybe nobody mentioned how the feature should be verified. Maybe an existing behavior needs to stay intact. Maybe the change sounds small but has consequences that are easy to miss.
Angular DataGrid: A Free, Open-Source AG Grid Alternative Built for Scale
Angular has changed in recent versions, especially around how developers handle reactive state. Signals are now an important part of the framework, and that makes the architecture behind an Angular component worth paying attention to. Data grids are a good example. A grid can start as a simple list of rows and columns. Then requirements start piling up: sorting, filtering, editing, large datasets, virtualization, grouping, pivot tables, accessibility, theming, and more.
I Tested Brilliant.design: Building a Real Portfolio from Figma to AI-Powered Design and Code
I’ve used quite a few AI design tools, but I was always thinking about what might happen when I stop generating a fresh screen and start working on a real design. Generating a nice-looking landing page from a prompt has become easy.
Mozaik Hackathon 2026: Compete for $1,000 in Cash Prizes
Mozaik Hackathon 2026: Compete for $1,000 in Cash Prizes
Mozaik Hackathon 2026: Build Concurrent Multi-Agent Systems and Compete for $1,000 in Cash Prizes
Building a multi-agent system sounds simple on a whiteboard. Give one agent a task, let another handle the next step, add a reviewer, connect a few tools, and you have an agentic workflow. It gets more complicated when those agents need to operate at the same time. A sequential workflow can force agents into a fixed order: one finishes, another starts, and everyone downstream waits.
Best Enterprise MCP Gateway for Security & Governance in 2026: A Practical Guide to Securing AI Agent Tool Access
MCP is changing how AI applications interact with the systems around them. An AI agent can now do much more than generate text. It can connect to MCP servers, discover available tools, query internal systems, interact with databases, and trigger actions on behalf of a user. That capability is powerful, but it creates a new challenge for engineering teams: how do you control what AI agents are allowed to access, how those actions are tracked, and how much they can consume?
I Tested 5 Design to Code Tools With the Same Outdated SaaS Dashboard
A polished UI can make a product feel completely different, but getting there usually takes more than changing a few colors or swapping out an old chart. Modern design to code tools can now handle much of that work, from redesigning an existing interface to generating the frontend code behind it. That’s what made me curious about today’s design to code tools. Instead of testing each tool with a different project or judging them from a demo, I wanted to put them on equal ground.
I Used React DataGrid to Build a Real Space Mission Explorer
I went through the documentation and feature list of React DataGrid, and I wrote React DataGrid: A Free, Open-Source React Data Grid with an Enterprise Edition (An AG Grid Alternative) Now I wanted to use it the way I would use any other data grid in a real project: start with a real dataset, build useful interactions around it, push the grid with a large number of records, and see where things get difficult.
How to Reach Your Full Potential as a Programmer (It's Probably Not What You Think)
Every programmer wants to improve. We all dream about becoming the person who can look at a difficult problem, think for a few minutes, and confidently build a solution from scratch. But whether you're writing your first "Hello, World!" program or you've been coding for years, you've probably asked yourself this question: "How do I actually become a great programmer?" The internet is full of advice. One person tells you to build more projects.
React DataGrid: A Free, Open-Source React Data Grid with an Enterprise Edition (An AG Grid Alternative)
If you've ever needed to build a serious data table in React, you've probably run into this problem. React doesn't include a native data grid component, so you're usually left choosing between paying for an enterprise solution or spending weeks building advanced table functionality yourself. For small datasets, a simple HTML table works well enough.
8 Platforms Replacing Manual Marketing Ops
8 Platforms Replacing Manual Marketing Ops
AI Agents for Marketing in 2026: 8 Platforms Replacing Manual Marketing Ops
According to HubSpot's 2026 State of Marketing Report, 61% of marketers believe AI is creating the biggest disruption marketing has experienced in the last 20 years, while 80% of marketers are already using AI for content creation and 75% are using it for media production. The shift is all about how effectively marketing teams can turn AI from a productivity assistant into an autonomous execution layer.
Most Important Programming Languages in 2026
Most Important Programming Languages in 2026
5 Most Important Programming Languages to Learn in 2026 (Based on Real Industry Demand)
Every year, developers ask the same question: "Which programming language should I learn next?" And every year, the internet gives us a hundred different answers. One person says AI will replace programmers, so learning any language is pointless. Meanwhile, others are arguing that you don't even need to learn programming anymore because AI already writes half the code.
24 Best AI Design Tools for Designers and Developers in 2026
Not long ago, designers relied on AI mostly for generating images or experimenting with quick concepts. Today, AI design tools can generate complete user interfaces, create interactive applications, write production-ready code, build marketing assets, and even help developers move from a Figma file to a working product much faster than before. That rapid evolution has also created a new problem. Search for AI design tools, and you'll find hundreds of recommendations.
What Is Agentic Marketing? How AI Agents Are Replacing the Modern Marketing Stack
According to Gartner, by 2026, 80% of enterprise marketing organizations are expected to use generative AI in some capacity, highlighting how quickly AI is becoming part of modern marketing operations. But there's a bigger shift happening behind the scenes. Marketing teams are moving beyond AI assistants that simply generate copy or analyze reports. Instead, they're adopting AI agents that can observe signals, make decisions, execute campaigns, and improve without waiting for human instructions.
BrowserAct vs Agent Browser: A Hands-On Stealth Execution Comparison
BrowserAct vs Agent Browser: A Hands-On Stealth Execution Comparison
AI Customer Success Tools: 7 Platforms That Reduce SaaS Churn and Drive Expansion Revenue in 2026
Companies with a net revenue retention (NRR) rate above 120% grow three times faster than those below 100%, according to KeyBanc Capital Markets’ SaaS Survey, making customer success one of the highest-leverage growth functions in modern SaaS. Most SaaS teams still treat customer success as a reactive function: monitor accounts, review health scores, schedule check-ins, and respond when something goes wrong.
BrowserAct vs Agent Browser: A Hands-On Stealth Execution Comparison
A hands-on comparison where I tested BrowserAct and Agent Browser using the SannySoft browser fingerprint test and the Cloudflare Challenge benchmark to evaluate their stealth execution and anti-bot capabilities under identical conditions. You switched to a browser automation tool built specifically for AI agents. That should have solved the hardest part... right? After all, these tools are designed for production workflows, autonomous agents, and modern browser automation.
AI Governance for Engineering Teams
AI Governance for Engineering Teams
Best AI Tools for SaaS Customer Retention: How to Stop Churn Before It Starts (2026 Guide)
According to the PLG AI SaaS Benchmarks 2026 report, SaaS companies lose an average of 5–7% of revenue every month to churn, a rate that quietly compounds into nearly half of annual revenue erosion if left unchecked. Most teams don’t realize churn is already happening long before the cancellation click. It starts as subtle behavioral drift, lower engagement, feature abandonment, and delayed logins and only shows up in dashboards when it’s too late to act. That’s where AI changes the equation.
AI Governance for Engineering Teams: Guardrails, Budgets, and Audit Logs That Actually Scale
Most AI incidents don't happen because the model gave a bad answer. They happen because nobody was governing everything around the model. Large language models are already finding their way into everyday engineering workflows. Developers use them in IDEs, support teams rely on them to answer customer questions, analysts connect them to internal databases, and AI agents now execute tasks that used to require direct human involvement. Getting AI into production becomes easy.
Top 5 AI UI Design Tools in 2026: I Tested Them All With the Same Prompt
Looking for the best AI UI design tool in 2026? I tested Flowstep, Google Stitch, Figma Make, Lovable, and Base44 with the exact same SaaS project management prompt to compare UI quality, design consistency, code generation, developer workflow, Figma integration, and overall usability. If you've searched for an AI UI design tool recently, you've probably noticed that every product claims it can turn a simple prompt into a polished interface in seconds.
Where Do Your LLM API Keys Actually Live?
If someone compromised one of your project's dependencies today, would they be able to steal your OpenAI, Anthropic, or Gemini API keys? The answer isn't based on which LLM provider you use or how secure your codebase is. It mostly depends on one architectural decision that many teams never think about: where your provider API key actually lives while your application is running.
Best AI Tools for Product-Led Growth (PLG) in 2026: 8 Tools That Turn Product Usage Into Growth
According to the PLG AI 2026 SaaS Benchmarks report, the top 10% of B2B SaaS companies grow annual recurring revenue (ARR) at least 2.5× faster than their peer group while maintaining 120%+ Net Revenue Retention (NRR) and CAC payback periods under 12 months.
10 Most Feature-Rich React Data Grid Libraries in 2026
Comparing the most feature-rich React data grids in 2026, from pivot tables and tree data to server-side loading, AI-assisted development, advanced filtering, and spreadsheet-style editing. When you're evaluating a React data grid in 2026, the challenge usually isn't finding a React data grid that supports sorting or filtering. Almost every grid can do that.
Best AI Tools for SaaS Free Trial Conversion: 7 Platforms That Increase Trial-to-Paid Conversion
According to ChartMogul's 2026 analysis of 200 B2B software products, the median free-to-paid conversion rate is just 8%, meaning most companies fail to convert more than 9 out of 10 free users into paying customers. The teams improving that number in 2026 are not sending more generic nurture emails or extending trial lengths.
AI Tools for SaaS User Onboarding (2026): 8 Platforms That Reduce Early Churn Before Users Drop Off
According to product onboarding and SaaS activation research compiled by Appcues and industry onboarding benchmarks, most SaaS products lose the majority of users within the first week, with estimates commonly ranging between a 50%–70% drop-off before activation. By the time churn shows up in a dashboard, it's usually too late to prevent it. The signals that predict user drop-off appear much earlier during onboarding, often within the first few sessions.
BrowserAct vs Playwright: Where Test Automation Hits Real-World Anti-Bot Friction (Hands-On Comparison)
You’ve built something with Playwright. It works perfectly in your local environment. CI is green. Tests pass. Everything looks production-ready and stable. Then you deploy it against a real website. And immediately, things start breaking: 403 Forbidden Cloudflare keeps loading reCAPTCHA blocking everything Or the page loads… but your agent gets silently flagged At first, this looks like something in the logic is wrong, or a selector is broken, or timing is off. But it's not.
How to Automate A/B Testing Without a Data Scientist: 5 AI Tools for Lean SaaS Teams in 2026
SaaS teams using AI-driven experimentation platforms (also called A/B testing automation or CRO automation tools) are increasingly able to run significantly more experiments than teams relying on manual testing workflows. The problem is no longer “how do we run tests”, but “how do we keep up with the results”. Most lean SaaS teams still operate A/B testing like it’s 2018, one test at a time, manual analysis, and delayed rollout decisions.
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