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.

Enterprise AI development ecosystem visualization showing connected systems and architecture

Inside Anthropic’s Emerging Partner Ecosystem: What Keyhole Is Seeing and Applying in Enterprise AI

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

Keyhole Software was selected to participate in Anthropic’s emerging ecosystem and invited to the 2026 Partner Summit. Here is what we are seeing firsthand and how we are applying it in real enterprise AI development and software delivery. AI vendors are no longer just releasing models. They are building ecosystems. Anthropic is at the forefront of this shift, building an …

Agentic AI Delivery in Practice: Autonomous Enterprise Execution with the Ralph Loop

David Pitt Agentic AI & AI-Accelerated Development, Architecture, Articles, Artificial Intelligence, Automation, DevOps Leave a Comment

Agentic AI delivery is a software delivery model where autonomous agents execute development tasks inside a governed software development lifecycle (SDLC), operating within architectural guardrails, dependency-ordered backlogs, and test-gated workflows. In Part 1 and Part 2 of this series, we introduced agentic AI delivery as an enterprise software delivery model and explored how governed, autonomous execution can operate within a …

AI-assisted software development workflow showing planning mode, prompting, multi-agent execution, testing, and merge process

AI Coding Tools in Enterprise Software Delivery: An Architect’s Workflow

Zach Gardner Agentic AI & AI-Accelerated Development, All Industries, Articles, Artificial Intelligence, Videos 1 Comment

AI coding tools are everywhere — but most teams are still experimenting in isolated demos. In this architect-level walkthrough, Keyhole Software Chief Architect Zach Gardner shows how we use tools like Claude Code in real, production delivery: with planning mode, constraints-first prompting, multi-agent workflows, and the governance required for enterprise environments.