Agentic AI in the Software Development Lifecycle: 2026 Adoption and Impact Data

Keyhole Software Agentic AI & AI-Accelerated Development, All Industries, Articles, Artificial Intelligence, Industry Research Leave a Comment

Agentic AI has moved well past the pilot stage for code generation, but adoption remains uneven across the rest of the software development lifecycle. Coding assistants are now mainstream; testing, code review, CI/CD, and incident response are each at very different points on the adoption curve, with very different levels of measured payoff. This report compiles current 2026 data on …

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.