The Blog

31 articles

Engineering, product, and what we're building.

Insights and updates from the team behind TTMCHANGE.

Why MLOps Is the Missing Layer Between AI and Production

MLOps is the engineering discipline that connects machine learning development with reliable production systems. It helps teams deploy, monitor, retrain, and maintain AI models as real-world data and requirements continuously change.

AbdiwahidAug 24, 20265 min read

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Showing 10 of 31 articles

NVIDIA’s $6 Billion Poolside Deal: The AI Infrastructure Behind the Model

Artificial Intelligence

Aug 23, 2026

NVIDIA’s $6 Billion Poolside Deal: The AI Infrastructure Behind the Model

NVIDIA is reportedly spending $6 billion to license Poolside’s internal “Model Factory,” while offering jobs to 109 employees and investing another $1 billion in the company. The unusual structure reveals something important about where the AI race may be heading: the most valuable asset may not be the model itself, but the infrastructure used to build it.

Eng Abdalla Ali7 min read

Ox Alpha: The Mysterious AI Model Nobody Knows Who Built

Artificial Intelligence

Aug 23, 2026

Ox Alpha: The Mysterious AI Model Nobody Knows Who Built

A mysterious AI model called Ox Alpha has appeared on OpenRouter with a 1-million-token context window and multimodal capabilities. But the biggest question is not what it can do—it’s who built it.

Eng Abdalla Ali4 min read

DeepSeek Harness: Why the Agent Runtime May Matter More Than the Model

Artificial Intelligence

Aug 23, 2026

DeepSeek Harness: Why the Agent Runtime May Matter More Than the Model

DeepSeek is moving beyond models with DeepSeek Harness, an open-source agent runtime built around a simple idea: everything is a plugin. Here’s what makes its architecture interesting for developers building the next generation of AI coding agents.

Eng Abdalla Ali6 min read

Artificial Intelligence

Aug 20, 2026

The Best LLMs for Coding in 2026

A look at the latest LLM rankings for coding, reasoning, and complex problem-solving—and why Claude Opus models are currently dominating the top positions.

Eng Abdalla Ali4 min read

Software Engineering

Aug 20, 2026

The Engineering Behind YouTube

YouTube looks simple from the outside, but behind every play button is a massive distributed system built around storage, transcoding, content delivery, networking, and reliability. This is a look at the engineering principles that allow YouTube to operate at global scale.

Eng Abdalla Ali5 min read

Artificial Intelligence

Aug 20, 2026

How to Reduce Claude Token Usage

Claude Code can be incredibly powerful, but inefficient context management can consume tokens faster than necessary. Here is a practical engineering approach to reducing token usage while keeping Claude effective across real-world development workflows.

Eng Abdalla Ali6 min read

From Monoliths to Modular Architecture: How Modern Applications Scale Without Becoming Unmaintainable

Software Architecture

Aug 20, 2026

From Monoliths to Modular Architecture: How Modern Applications Scale Without Becoming Unmaintainable

As applications grow, adding features can gradually turn a codebase into a complex and fragile system. Modular architecture provides a structured way to scale engineering teams and products while keeping responsibilities isolated, dependencies controlled, and the codebase maintainable.

Eng Abdalla Ali10 min read

Designing APIs for Scale: Principles Behind Reliable and Maintainable Backend Systems

Backend Engineering

Aug 17, 2026

Designing APIs for Scale: Principles Behind Reliable and Maintainable Backend Systems

A production API is more than a collection of endpoints. Good API architecture requires careful decisions around contracts, validation, authentication, versioning, performance, observability, and failure handling. These principles determine whether a backend remains maintainable as users, features, and traffic grow.

Ali Nor10 min read

Why Distributed Systems Fail: The Engineering Behind Reliable Software at Scale

Software Engineering

Aug 17, 2026

Why Distributed Systems Fail: The Engineering Behind Reliable Software at Scale

distributed systems architecture cloud infrastructure software engineering servers network

Eng Abdalla Ali11 min read

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