The Techy Boy

 Every developer knows the pain of waiting for a massive pull request (PR) to be reviewed. You build Feature A. While waiting for your teammates to review it, you start working on Feature B, which relies on Feature A. Soon, you find yourself stuck in a high-stakes balancing act: either block your own progress until the first PR lands, or merge Feature B into Feature A, creating a giant, unreviewable monster PR. Enter Stacked Pull Requests (Stacked PRs)—a modern development strategy designed to keep developer velocity high and code reviews bite-sized. With GitHub introducing native support and improved workflows for stacked PRs, shipping incremental code changes has never been smoother. What is a Stacked Pull Request? A Stacked PR is the practice of breaking down a complex feature into a chain of smaller, dependent pull requests that build on top of one another. Instead of opening one massive PR with 2,000 lines of code changes, you open a series of smaller branches: PR #1 (Base) ...

For over 15 years, backend developers, API designers, and frontend engineers have lived by a strict, self-imposed set of rules. If you want to create a resource, you use POST . If you want to replace it, PUT . If you want to fetch it, GET . But what happens when you need to fetch a resource using a massive, deeply nested JSON filter, a complex SQL string, or a large GraphQL block? Historically, we had to choose between breaking HTTP semantics or risking massive URL breakages. That era is officially over. In June 2026 , the IETF officially published RFC 10008 , standardizing a brand-new HTTP method: QUERY . This is the first major addition to the core HTTP verbs since PATCH was standardized back in 2010. Here is everything you need to know about why QUERY exists, how it works, and how it’s going to fix API design layout. The Broken Workarounds: GET vs. POST To understand why QUERY is such a big deal, we have to look at the architectural compromises developers have been force...

As we move through 2026, the DevOps movement has transitioned from a set of practices into a highly intelligent, platform-centric discipline. The days of "manual automation" are over. We are now in the era of Autonomous Operations. Whether you are an architect, a senior engineer, or a technical lead, these ten trends represent the shift from managing infrastructure to orchestrating intelligence. 1. AIOps: Moving from Automation to Autonomy 🤖 AIOps has matured beyond simple anomaly detection. In 2026, it is the "engine" of the SDLC. The Trend: Closed-loop remediation. Systems no longer just alert you when a service fails; they analyze the root cause and execute a recovery playbook before the on-call engineer even wakes up. The Impact: A shift from "Mean Time to Detect" (MTTD) to "Mean Time to Self-Heal." 2. The Dominance of Platform Engineering 🛠️ The "You Build It, You Run It" mantra of early DevOps often led to developer burnout. P...

Modern software infrastructure rests on the ability to manage, scale, and automate containerized applications at a scale that was once unthinkable. Before this technology became a global standard, it was the engine behind Google’s massive internal operations. Known as   "Borg,"   this system managed millions of containers, handling the deployment and health of nearly every internal service Google offered. In 2014, Google open-sourced a descendant of this system, giving birth to  Kubernetes —a platform that triggered a tectonic shift in how the industry approaches distributed systems. 1. The "K8s" Name is a Math Joke In the world of cloud-native engineering, you rarely hear the full four-syllable name. Instead, professionals call it  "K8s."  This is not a random nickname but a  "numeronym,"  a specific brand of engineering shorthand where the number represents the count of omitted letters. K  +  u-b-e-r-n-e-t-e  (8 letters) +  s ...

  What are Azure Locks? Azure Locks are a powerful tool that allows you to restrict changes to Azure resources. By applying a lock to a resource, you can prevent unauthorized modifications, ensuring the integrity and security of your Azure environment. Types of Azure Locks There are two main types of Azure Locks: ReadOnly: This lock prevents any modifications to the resource, including updates, deletions, or changes to its properties. CanNotDelete: This lock prevents the deletion of the resource, but allows updates to its properties. Advantages of Using Azure Locks Enhanced Security: Prevent unauthorized changes to critical resources. Compliance Adherence: Ensure compliance with regulatory requirements or internal policies. Resource Protection: Protect resources from accidental deletions or modifications. Change Management: Implement a controlled process for making changes to resources. Common Use Cases for Azure Locks Protecting critical resources: Lock down highly...

Hey developers! 👋 We all have faced endless debugging, repetitive tasks, or struggled to get the perfect design. But what if AI could make things easier for us? 😅 In this post, I'll share some AI tools that have helped me save time and make web development less frustrating. If you’ve got your own favorites, feel free to share in the comments—I’d love to know what’s working for you! GitHub Copilot: Your Coding Buddy 🤖 You might have heard about GitHub Copilot. It’s like having a coding partner who suggests code completions and helps you write boilerplate code. Great for speeding up your workflow, especially with repetitive tasks. Why it’s useful: It suggests code as you type—sometimes even entire blocks! Works with many languages, like JavaScript and Python. You can learn new coding techniques along the way. Question: Have you tried Copilot? Has it made a big difference in your coding process? Tabnine: ...

F5 failover refers to the process of switching from a primary (active) F5 load balancer to a secondary (standby) F5 load balancer in the event of a failure or maintenance requirement. This ensures continuous availability and minimizes downtime for applications and services relying on the load balancer. F5 Networks provides a range of products, including the BIG-IP platform, which supports high availability (HA) configurations to enable failover. Key Concepts High Availability (HA) : F5 BIG-IP devices can be configured in HA pairs to provide redundancy. One device is active (handling traffic), and the other is standby (ready to take over if the active device fails). Failover Mechanisms: Failover can be triggered by various conditions, such as hardware failures, software issues, or manual intervention. The standby device continuously monitors the active device and takes over when it detects a failure. Sync-Failover Device Group: F5 devices in an HA pair are part of a sync-failover device...