Designing Demos That Don’t Lie: A Demo Engineer’s Guide
There’s a special kind of dread that comes from watching a demo you know will never survive first contact with a real codebase. On the surface, it loo…
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Managing The Smarter
Ancient Intelligence Wisdom, Modern AI Debugging The General Doesn't Go to the Battlefield Two thousand years ago, military strategists solved a probl…
Can AI Replace Data Engineers? We Tried It.
We had a slightly reckless idea: what if we let AI do most of our data engineering work? Not "help with a query here and there," but actually build re…
When Familiarity Starts Holding You Back
Sometimes growth doesn't stall because you're lazy. It stalls because what once helped you now feels too comfortable. Early in your career, familiarit…
Building for the Next Billion Users: Engineering for Emerging Markets
The next wave of internet users will not come from highly connected urban centers. They will come from emerging markets. From small towns, rural areas…
Bank Financial ERP: 20-Module Banking-Grade Enterprise System
WHAT MOST PEOPLE DON'T REALIZE ABOUT BANKING SOFTWARE When people think about software for banks, they usually think about the customer-facing side — …
Invincat: A CLI agent with structured, tiered memory governance for long-term engineering collaboration
https://github.com/dog-qiuqiu/invincat As AI coding assistants enter real-world engineering workflows, the central challenge is shifting from "insuffi…
How SSH Works—and How It Breaks (Part 2): Simulating a Man-in-the-Middle Attack
In this article, we’ll explore how a Man-in-the-Middle (MITM) attack works using a small Docker-based lab. We’ll simulate how an attacker can steal cr…
80% of AI Projects in Banks Fail - Here’s Why (And How We Fixed It)
Banks invested billions in AI. Fraud detection. Credit scoring. Customer experience. Risk modeling. The promise was massive. But here’s the uncomforta…
Mythos and Cyber Models: What does it mean for the future of software?
Anthropic Made Its Model Worse On Purpose. Here's What That Tells You About the State of AI Security. In the entire history of commercial AI model rel…
The Dunning-Kruger Effect: Why Your First 6 Months With a Framework Are a Lie
Hi there! I love learning. Who doesn't? I'm a firm believer that learning compounds over time and is the greatest leverage anyone has, in every area o…
How I Built Qualioro — A Software Quality Intelligence Tool
Most teams don’t lack effort — they lack visibility into code quality. That’s something I kept noticing while working on projects. You ship features, …
Risk Management for Developers: A 2026 Practitioner Guide"
At 04:09 UTC on July 19, 2024, a single CrowdStrike Falcon sensor update hit production. Within minutes, roughly 8.5 million Windows machines across a…
The High Interest on the AI Loan: Why "Vibe Coding" is a Maintenance Nightmare
The Great Illusion of Technical Egalitarianism Today, everyone—from venture capitalists to liberal arts enthusiasts—is intoxicated by the era of "Vibe…
What cave diving taught me about distributed systems
What cave diving taught me about distributed systems I've been building backend systems for 14 years. I've also spent a decent chunk of the last decad…
Implementing Organizational Operations with Deterministic Architecture
Hiring, evaluation, 1:1s, retrospectives, roadmap decisions, team design, and AI usage often look like different problems. They are not. In practice, …
Port Exhaustion, Context Switching, and Why "HttpClientFactory" Exists (.NET)
Hello there!👋🧔♂️ When .NET apps call other HTTP APIs under load, production often teaches the same lesson in two different voices: cryptic socket err…
Most Real-Time Platforms Don't Fail From Scale. They Fail From Ambiguity
A lot of engineering teams spend time preparing for scale before they prepare for ambiguity. That sounds backward at first, but in practice ambiguity …
Building for the Next 10 Years: The Design Principles of apcore
We’ve reached the end of Volume I of our series. We’ve explored the problems with "Vibe-based" engineering, the rise of the Cognitive Interface, and t…
Why Your AI Productivity Dashboard Is Lying to You
Chapter 2 Deep-Dive: The Measurement Problem Companion document to " Software Development in the Agentic Era " By Mike, in collaboration with Claude (…
Why Every Developer Should Care About Platform Architecture in 2026
I've had this conversation too many times. A developer joins a project, looks at the architecture, and says some version of 'who made these decisions?…
The Hidden Costs of AI in Production (And How Developers Can Reduce Them)
AI looks cheap in demos. A few API calls, a working prototype, and suddenly it feels like you have built something powerful with minimal effort. But p…
My First Foray into Harness Engineers
When our team set out to build BypassHire — an AI tool that cuts job-application time from 45 minutes to under 5 — we quickly realized that the intere…
# Rust and Formal Verification: How to Prove Your Code Actually Works
As a best-selling author, I invite you to explore my books on Amazon . Don't forget to follow me on Medium and show your support. Thank you! Your supp…
Why I Mentor Junior Developers: Growing the Next Generation of Tech Talent
The Mentoring Gap in Tech The technology industry has a well-documented pipeline problem. We talk endlessly about hiring, about talent shortages, abou…
Your Python Workflow Crashes Between Steps. Here Is Why, and How to Fix It.
The gap between task queues and durable execution, and what fills it in 2026 Most Python applications reach for Celery when they need background proce…
When Identity Breaks and Consent Arrives Late — Systems Still Run, But Signals Lose Meaning
Modern digital systems depend on signals to represent reality. But not all signals carry the same weight. Two signals, in particular, shape how system…
Rich domain modelling: a library story
Most software doesn't have a domain model. It has a database schema, a set of service classes that orchestrate calls to it, and a collection of user s…
Why 90% of ML Engineers Struggle in Real-World Systems
Most ML engineers don’t fail because they lack knowledge. They fail because they’re solving the wrong problem. 🚨 The Hard Truth Most ML engineers are …
Should We Still Care About Our Code?
As part of a new feature, I was looking at a "Human in the Loop" wrapper: func ( h * HITLWrapper ) Exec ( ctx context . Context , startTime time . Tim…