Latest Articles

Why AI-Generated Code Is Making Regression Testing More Important, Not Less

AI-generated code introduces integration failures that spec-based tests cannot catch. Regression testing grounded in real production behavior is the fix.

July 1, 2026

by Sancharini Panda

· 2,101 Views

Can Rust Have Zero-Cost Dependency Injection?

This article explains compile-time dependency injection in Rust without reflection, runtime containers, dyn, Arc, Rc, or runtime resolution overhead.

July 1, 2026

by Dmytro Brazhnyk

· 2,436 Views

AI-Augmented React Development: How I Rebuilt My Workflow Without Losing Control of the Code

AI accelerates React 18 workflows but breaks down in large enterprise codebases. Here’s where it helps, where it fails, and the guardrails your team needs.

July 1, 2026

by Sathwik Nagulapati

· 3,413 Views · 1 Like

If You Can Facilitate a Retrospective, You Can Audit Your AI

Learn how the AI Delegation Audit helps Scrum teams inspect AI workflows, catch automation drift, and keep delegated AI work safe and accountable.

July 1, 2026

by Stefan Wolpers

CORE

· 1,917 Views · 1 Like

Loop Engineering: The Layer After Prompt, Context, and Harness Engineering

This article walks through all four layers side by side, with comparison tables for when to use each one and which agent architecture fits which job.

July 1, 2026

by Vidyasagar (Sarath Chandra) Machupalli FBCS

CORE

· 2,742 Views · 2 Likes

Text Summarization With OpenAI and Ruby on Rails

Learn how to build AI-powered text summarization in Ruby on Rails using OpenAI, including prompt optimization, long-document handling, and Sidekiq background jobs.

June 30, 2026

by Denys Kozlovskyi

· 1,597 Views · 1 Like

The 20 Software Engineering Laws

20 software engineering laws that explain why rewrites fail, late projects slip, and teams game every metric. They're about people under pressure, so they still hold.

June 30, 2026

by Milan Milanovic

CORE

· 4,211 Views · 16 Likes

Fine-Tuning LLMs at Scale With Databricks MLflow and Spark

Learn how Databricks, Apache Spark, MLflow, and Hugging Face Transformers work together to create an end-to-end fine-tuning platform.

June 30, 2026

by Jubin Soni, FBCS

CORE

· 1,773 Views

The New Senior Developer Job Description: Half Engineer, Half AI Systems Architect

Senior developers now own two roles: traditional engineering plus AI systems architecture. This split reshapes compensation, hiring, and what 'senior' actually means.

June 30, 2026

by Dinesh Elumalai

CORE

· 4,099 Views · 4 Likes

An Ingredient List Doesn't Stop the Worm: What SBOMs Can and Can't Do

An SBOM alone can't stop supply chain attacks. Learn why software signing, provenance, and deployment verification are essential for secure releases.

June 30, 2026

by Igboanugo David Ugochukwu

CORE

· 1,743 Views

A Low-Latency Routing Pattern for Multiple Small Language Models

A low-latency multi-SLM architecture uses a lightweight router to direct requests to the most suitable language model, ensuring fast responses with minimal overhead.

June 30, 2026

by Akhil Madineni

CORE

· 1,980 Views · 2 Likes

How Agent Frameworks Solve Human-in-the-Loop

Six frameworks, three HITL patterns — the right choice depends on tool-call granularity, editable args, and whether the run survives a process.

June 30, 2026

by Ninaad Rao

CORE

· 2,042 Views · 4 Likes

A Fully Self‑Contained Text Embedding Service in C#

Build fast, deterministic text embeddings in C# using feature hashing, trigram features, and L2 normalization — no APIs, GPUs, or external models required.

June 30, 2026

by Mangesh Walimbe

· 1,145 Views

Beyond Static Thresholds: Building Self-Healing Systems via Context-Aware Control Loops

Static thresholds fail in complex distributed systems. This article introduces a context-aware control loop architecture to isolate failures and automate recovery.

June 29, 2026

by Darshan Botadra

· 1,830 Views

Architecting Trustworthy AI: Engineering Patterns for High-Stakes Environments

This post presents three domain-agnostic engineering patterns for building AI systems that remain safe even when the model is wrong.

June 29, 2026

by Sujay Puvvadi

· 1,789 Views

Building Production-Safe Agentic Remediation With Docker MCP Gateway: Lessons From 43% to 100% Accuracy

We built an AI Docker remediation system on MCP Gateway. First version: 43% correct. After 9 engineering fixes: 100%. Here's what changed.

June 29, 2026

by Mohammad-Ali Arabi

· 2,661 Views

Black Swan Bugs: Paving the Way for New Roles in Software Engineering

By outsourcing more of our thinking to probabilistic systems, we risk weakening the very human habit black swans demand: the habit of making the right questions.

June 29, 2026

by Stelios Manioudakis

CORE

· 3,280 Views · 3 Likes

Why Requirements Are Becoming the Control Layer in AI-Assisted Development

As AI generates more code and tests, requirements become the control layer that keeps delivery consistent, traceable, and aligned with the system context.

June 29, 2026

by Andrei Lavygin

· 1,788 Views · 1 Like

High-Cardinality Threat Detection: Why MapReduce Breaks and Heuristics Win

Scalable systems that succeed don’t process more — they ignore more, using heuristics to isolate the small fraction of activity that actually matters.

June 29, 2026

by Karanpreet Singh

· 1,542 Views

Mac Native Builds, Live Protocols, And Open Issues Under 350

The open issue count dropped below 350 after a push through the oldest reports, and the same week brought native Mac builds, WebSockets in the core, gRPC and GraphQL inte

June 29, 2026

by Shai Almog

CORE

· 1,096 Views · 1 Like

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