Showing category results for Developer Productivity

~1,900 lines of Python. Zero dependencies. Saves you an hour a day. GitHub → ·  Now give Copilot CLI enhanced context recall. Point it at  and let it cook. 🍳 Are you tired of using the slash /compact command every 10 min? The Context Window Is a Lie Every AI coding agent ships with a big number on the box. 200K tokens. Sounds massive...

This post is the first in a 3-part series: Bookmark this post for quick reference as you start exploring Agentic DevOps. It will be updated as the 3 parts become available. Getting started with Agentic DevOps Agentic DevOps is a new approach to software development where AI-powered agents work alongside your team across the entir...

Practices, Principles, and Strategic Direction Software delivery has entered a new phase. AI agents are no longer confined to autocomplete suggestions in the editor. They are opening pull requests, generating code across multiple files, proposing infrastructure changes, responding to issues with working implementations, and executing multi-step en...

If you work in field engineering, you know the scenario. A customer is deploying AKS in a regulated environment. They hit an issue during node bootstrapping. They want to know exactly what happens when a node joins the cluster, which components run in which order, and whether the behaviour they're seeing is expected. The question sounds simple. T...

And the developers running Claude Code and GitHub Copilot CLI didn't notice... Status Page Says 'Operational.' Your Subagents Say Otherwise. If you're running autonomous agents in any serious capacity, you've experienced this: model provider outages aren't edge cases — they're part of the operating environment. Anthropic has had outages. ...

We've talked about the human scale problem and what happens when infrastructure scales but understanding doesn't. If you've been following along, you know the thesis: our tools have outpaced our ability to operate them, and platform engineering is how we're fighting back. But here's the thing - we've been fighting with one hand tied behind our b...

Taming the Noisy Inbox: How I Used MCP to Automate Email and Teams Triage How the Model Context Protocol (MCP) turns your AI coding assistant into a workplace productivity engine — connecting Microsoft 365 data to your terminal workflow.   The Problem We All Share If you work in a customer-facing role, you know the feeling. You open your...

If you want to skip the explain and get started super quick with adoption + impact insights, use gh-devlake to deploy a GitHub Copilot impact dashboard in a few CLI commands. So! You've rolled out GitHub Copilot to your engineering teams. You've got the built-in dashboards. You know how many seats are assigned, what the acceptance rates look...

We are currently living through the "fragmentation phase" of the AI revolution. If you’re a developer, you know the drill: You have Claude Code open for reasoning. You have ChatGPT open for logic checks. Then you drop into your terminal to actually build the thing—manually copy-pasting context between three different windows. We call this...

1. Introduction AI coding agents/assistants such as GitHub Copilot have become common in modern software engineering workflows. Their strengths—rapid pattern completion, context-aware suggestions, and the ability to learn style from local code—stem from broad training on large corpora of public, general-purpose code. They perform best when the ...