The Shift Toward Local AI: A Developer’s Perspective

John Hoestje Articles, Artificial Intelligence, Automation, Machine Learning, Programming, Tutorial Leave a Comment

AI has moved fast, faster than most of us expected, and the cost of keeping up is starting to show. What began as inexpensive, wide-open access to powerful cloud models has shifted into a landscape of rising token prices, stricter quotas, and unpredictable availability. More teams are starting to ask a question that would have sounded unrealistic a year ago: should we start hosting our AI models locally?

In this post, I’ll walk through why token costs and model access are becoming harder to rely on, why open models and local hardware are closing the gap, and what actually happened when I ran a full agentic workflow on my own machine, starting with the cost problem that kicked this off.

Devcontainer.json customization guide blog header — gitignore template, git skip-worktree, and custom devcontainer feature methods, by Jake Everhart, Keyhole Software

Customizing Devcontainers Without Affecting Your Team

Jake Everhart Agentic AI & AI-Accelerated Development, Articles, Development Technologies & Tools, DevOps, Infrastructure As Code (IaC) Leave a Comment

There’s no single “correct” way to customize a devcontainer, just like there’s no one right way to use most tools in software development. Devcontainers can be great for solo projects, to yield an isolated development workspace with no risks of polluting (or being polluted by) the external environment. They can also give teams a consistent, baseline environment for bootstrapping engineers, with integrations like GitHub Codespaces exposing that environment in a variety of ways. But the gap between those workflows is large, and managing it sometimes requires weighing a team’s needs vs. individual preferences.

It’s a balancing act, and getting it wrong can make your containers brittle, difficult to maintain, and cause enough overall frustration to outshine the benefits.

Yet there are options available for a more-granular approach. We don’t have to decide just between bare-minimum or include-everything – we can curate containers that are focused on the core tools used across the entire team, while still providing room for per-user expansions.

Today, we’ll explore a few approaches for customizing a shared devcontainer setup across different team scenarios, without having to abandon shared devcontainers altogether.

Java Trends of 2026: Market Position, Enterprise Adoption, Version Distribution, and the AI Acceleration Angle

Keyhole Software Agentic AI & AI-Accelerated Development, All Industries, Architecture, Articles, Artificial Intelligence, Java, Spring Leave a Comment

2026 Java trends: TIOBE and Stack Overflow rankings, enterprise adoption by industry, Spring Boot and framework data, Java version distribution, AI/ML integration, and runtime performance benchmarks.

Illustration comparing cursor-based pagination and offset pagination in modern APIs. The graphic features side-by-side visualizations of each pagination method, highlighting cursor navigation versus numbered page navigation, alongside the title "Cursor-Based Pagination vs Offset Pagination: Preserving User Navigation at Scale." Author attribution for Rachel Walker appears in the lower-left corner.

Cursor-Based Pagination vs Offset Pagination: Preserving User Navigation at Scale

Rachel Walker API Development, Architecture, Articles, UI/UX Leave a Comment

Cursor-based pagination has become the default pagination strategy for many modern APIs, including GraphQL APIs, cloud platforms, and large-scale SaaS applications. While it offers significant performance advantages over traditional offset pagination, it introduces new challenges for navigation, bookmarking, sharing links, and preserving user context. In this article, we compare cursor pagination vs offset pagination, explore why the industry is moving …

Legacy Modernization Trends: 2026 Market Size, Growth Drivers, and Enterprise Adoption Data

Keyhole Software Agentic AI & AI-Accelerated Development, All Industries, Architecture, Articles, Artificial Intelligence, Automation, Cloud, Modernization 1 Comment

2026 legacy modernization trends: market size data, growth rates, regional breakdowns, and industry adoption stats from 8+ analyst sources.