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The Adventures of Blink S6e3: The First Enhancement [NIST 800-53 CM(3)]

Hey friends! Today on The Adventures of Blink we're continuing our efforts to repair the relationship between Engineering and Governance as we explore the first Enhancement to NIST 800-53 CM-3. The name of the game today is AUTOMATION . Do you think "Compliance" means filling out an endless 25-field enterprise ticketing form and waiting for a weekly CAB meeting? Think again. We'll use a little empathy for the Developer Experience as the basis for a new look at our Change Management proce...
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I Built Relay_: The Open-Source Layer Between Your API and the Internet

I almost rage-quit my own side project last month because I spent 14 hours fighting AWS API Gateway just to validate a single API key. Actually, I didn't quit. I just got so unbelievably frustrated with the extortionate pricing and miserable UX of modern API tools that I rage-built my own Gateway in Go instead. If you've ever built a public-facing API, you already know the nightmare. You write your core business logic in a weekend, and then hit a massive brick wall. When you look at ...
Catching "invoice.pdf.exe" before you open it: a tool that identifies a file's real type from its first bytes
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Catching "invoice.pdf.exe" before you open it: a tool that identifies a file's real type from its first bytes

Windows hides file extensions by default. So an executable named invoice.pdf.exe shows up in Explorer as invoice.pdf . Give it a PDF icon and there is nothing left to tell it apart by looking. An extension, though, is only a claim . A PDF always starts with %PDF- . A Windows executable always starts with MZ . A file can call itself anything it likes, but its first bytes are the contents themselves, and they cannot lie. This post is about a Windows app I built that reads those first b...
Apache Iceberg Maintenance Tools: From Spark Procedures to Autonomous Control Planes
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Apache Iceberg Maintenance Tools: From Spark Procedures to Autonomous Control Planes

Every write to an Apache Iceberg table creates a new snapshot. Every snapshot pins references to data files. Over weeks of production workloads, this produces thousands of small files, bloated metadata, orphaned storage artifacts, and dangling delete records — all of which silently degrade query performance, inflate storage costs, and slow down every engine connected to the table. The fix requires five distinct maintenance operations, executed in the right order, at the right frequency, acros...
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"The agent said it would wait, and didn't"

This morning, before launching the forks that refined this note's tickets, I exported an environment variable by hand from outside the script that starts the loop. I set it that way every time I run this project. Five nights ago that variable didn't exist anywhere, and not knowing that cost USD 2.79 and zero finished tickets. I'm going to wait In the early hours of September 12th, in the chatbot project, the loop ran in parallel for the first time: two tickets at once, each with ...
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SQL Operations in a nutshell :

Congratulations, we now have worked on retrieving data. Next step is now how to work on that data to produce ready to use output. In this article we will basically cover how to transform, calculate and reshape data directly inside a querry rather than pulling those raw values and working with them on a separate platform. We have different SQL Operations: Arithmetic , string , date , conditional and Aggregate Operations. Arithmetic Operations SQL supports standard mathemat...
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The OWASP Agentic AI Top 10, read as someone who actually runs agents on his laptop

OWASP published a Top 10 for Agentic Applications in December 2025 — ten risks, numbered ASI01 through ASI10. Most write-ups I found target platform teams. I don't have one. I have a laptop, six agents (Claude Code, Cursor, OpenClaw, DSH and a couple of my own scripts), 14 MCP servers — and a habit of giving them shell access. So here is each item translated into what I actually changed. ASI01 — Agent Goal Hijack Prompt injection, but the version that matters in practice is in...
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Linear Regression

What is Linear Regression Linear regression is a statistical method which models the linear relationship between a dependent variable and one or more dependent variable. It finds the best-fitting straight line through a set of data points. purpose of Linear regression The purpose of linear regression is to predict continuous values, understand the relationship between variable and make inference about data. it also measures the strength of relationships. There are two types of linear re...
Daily Web Development Learning:CSS Display & Navigation Bar Basic!
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Daily Web Development Learning:CSS Display & Navigation Bar Basic!

Today, I practiced essential CSS properties used to layout and style navigation bars. Here is a quick breakdown of what I covered: ​display: flex; – Converts block-level list items (like Home, About, Contact, Services) into inline elements so they sit neatly side-by-side. ​list-style-type: none; – Removes the default bullet points from list items. ​gap: 20px; – Adds clean, uniform spacing between navigation links. ​text-decoration: none; – Removes default underlines from tags for a...
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Listing a remote MCP server in every directory: what each one actually checks (September 2026)

The Save button did nothing. We opened the network panel. The request had returned HTTP 200. Inside the response: a validation error on a field the form did not show. By then we had spent several days trying to get the same remote MCP server listed across directories. Another directory had published us in about ten minutes. A GitHub list had tested our endpoint and accepted its 401. Elsewhere, our submission was waiting for a human. "Get the server listed" had turned into a collection o...
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How to find out what SDKs, ad networks, and APIs a competitor's Android app uses

How to find out what SDKs, ad networks, and APIs a competitor's Android app uses You can install an app in ten seconds and still have no idea how it makes money. That's the gap this post is about. Below is the whole workflow — from a Play Store URL to a list of SDKs, ad networks, and API endpoints — using only free tools, plus three findings from real teardowns to show what the output actually looks like. Everything here works on a Mac or Linux box; no rooted device required. One hone...
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Configuring and Migrating to Azure Database for PostgreSQL

Why Migration and HA Are the Same Conversation Migrating a database and keeping it highly available afterward aren't two separate projects — they're the same discipline applied at two different moments. Both come down to the same underlying mechanism: PostgreSQL's write-ahead log (WAL) , the record of every change made to the database, streamed to wherever it needs to go — a standby replica for HA, a target server for migration, or a backup archive for disaster recovery. This is a granul...
GitHub Release to Zenodo DOI
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GitHub Release to Zenodo DOI

Cover illustration: evolving source becomes one preserved release. A GitHub release can exist before its Zenodo archive is ready. A DOI can resolve while the metadata still misrepresents the files. A discovery service can list the record without having checked whether the software works. Treating those events as one success state makes a release difficult to reproduce and surprisingly easy to describe incorrectly. This guide follows a real software release through those boundaries. The ex...
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Deploying Cloud-Native Apps with Azure Container Apps

Why Container Apps, and Not Just "Kubernetes but Managed" Azure Container Apps sits in a specific gap: more managed than AKS (no nodes to patch, no cluster to operate), but built on the same underlying primitives Kubernetes users already know — KEDA for event-driven autoscaling, Dapr for service-to-service patterns, and the same container image you'd deploy anywhere else. It's the right target when you want Kubernetes-shaped scaling behavior without operating a control plane. This is a gr...
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DPDP Act Compliance for Fintech KYC: What Changes, and What Your Stack Needs to Handle It

India's DPDP Act doesn't replace RBI's KYC Master Directions it runs alongside them, with a different legal basis, different retention logic, and its own penalties. Here's what that means for a fintech's KYC stack, mapped to the controls that actually satisfy it. Most fintechs operating in India built their KYC stack around one rulebook: RBI's KYC Master Directions collect documents, verify identity, retain records for years, done. The Digital Personal Data Protection Act 2023 doesn't repla...
Handling Timeouts in AI Image Generation Without Blind Retries
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Handling Timeouts in AI Image Generation Without Blind Retries

A user clicks Generate. Your backend submits a request to an image provider, then the HTTP call times out. The provider may already be creating an image. Submitting again could create a second paid task. The code examples are simplified illustrations. A Timeout Leaves a Question Open An asynchronous generation API still has an initial HTTP exchange: submit a request and receive a task ID. That exchange can fail independently of the work it starts. A documented rejection can...
Install and set up Kubeflow for ML on EKS.
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Install and set up Kubeflow for ML on EKS.

What is Kubeflow? Kubeflow is like a dedicated playground for machine learning on Kubernetes. Imagine having a magic toolbox that not only helps you build and train your models but also handles all the nitty-gritty details of deploying and scaling them in a Kubernetes environment. It's like having a personal assistant that makes sure your machine learning workflows run smoothly, letting you focus on the fun part—experimenting and creating cutting-edge models. Step 1: Set Up AWS C...
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My MRI interpretation vision model pointed at the right kidney and wrote "left"

I build a tool that reads MRI and CT scans with general vision models and explains the findings in plain language. The most repeated error in that pipeline isn't a missed tumour or an invented measurement. It's left and right . We ran eight real studies through four readers (Claude, Gemini, Grok and Google's MedGemma), with the radiologist's signed report as ground truth. Here's what came back: a 5 cm cyst in the right kidney, placed in the left by two of the four readers a medial ...
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Loops

Why loops matter A loop is a control flow structure that executes a block of code repeatedly as long as a condition holds. They matter for three reasons: they reduce redundancy (no manually retyping the same statement), they save time and space (keeping code short and maintainable), and they handle dynamic data (processing a list or user input of any size without rewriting the code for each possible length). for loops Use a for loop when you know exactly what you're i...
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Tool Descriptions Are the Contract

This series started with a claim: MCP and REST are two doors into the same kitchen. Three posts later, the comments have pushed the argument down to its foundation. One reader on dev.to said the useful test is whether both doors preserve the same auth, error, and idempotency behavior. Another warned about granularity drift and asked how anyone validates tool descriptions. Both are pointing at the same uncomfortable fact: in an MCP server, prose is load-bearing. The description decides whether th...
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Building a "Find Stores Near Me" Feature with Geolocation

A "Find Stores Near Me" button looks simple: get the user's location, compare it with your stores, and show the closest results. But once you start building it, a few questions appear. How do you request location safely? How do you calculate which store is actually closest? What happens when permission is denied? And does the same approach still work with thousands of locations? Let's build the basic version in JavaScript and then look at what needs to change for production. Ho...
Production AI Checklist: Best Practices for Reliable Deployment 2026
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Production AI Checklist: Best Practices for Reliable Deployment 2026

The production AI checklist every team should verify before launch Your AI feature looked solid in the demo. Then real traffic hit: strange inputs, slow dependencies, token spikes, and users who do not behave like your test set. That is where most teams find out the hard part was never getting the model to answer. It was getting the system to hold up in production. Table of Contents The production AI checklist every team should verify before launch Production AI checklist...
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I almost started a Medium column about getting cited by LLMs. Then I read Medium's robots.txt

I was about to start a monthly column about AI search visibility — how to get your pages cited by ChatGPT, Perplexity, Google's AI Mode. Medium was the obvious venue. Big audience, publications that distribute for you, no infrastructure to run. Before writing the first paragraph I ran the check I run on every client site: curl -s https://medium.com/robots.txt Medium disallows the crawlers I was writing about. What's actually in the file Checked 2026-09-17, ...