Dev Interrupted

The most underrated dataset in enterprise AI is your org chart | Rippling's Albert Strasheim

Rebuilding CLIs for agents, it’s time to get MCP-certified, and why human code review will never catch up

The rapid integration of AI into software development is fundamentally reshaping engineering workflows, moving beyond simple code generation to complex agentic systems. The Model Context Protocol (MCP) is gaining industry-wide standardization, providing a critical framework for connecting AI applications to external to...

How to see in the dark factory | LaunchDarkly's Cameron Etezadi

How to cultivate expertise with local models, delegating to subagents, and we all really stopped reading, huh?

Agents moved where the work happens (and using MCP to find it again) | Slack’s Jaime DeLanghe

Empathetic leadership for tech overlords, a good backlog completes itself, and who’s agent is this, anyways?

How Kraken finds hidden bottlenecks across thousands of engineers | Nik Sudan

Operationalizing AI in engineering requires a clear separation between rapid, throwaway proof-of-concept experimentation and production-ready development. Scaling AI maturity depends on moving beyond vanity metrics like adoption rates or token consumption, instead utilizing a balanced framework of throughput, quality, ...

The discernment horizon, loop-driven development, and a wizard’s very defensible pond

Your developers are the attack surface now and vibe coding as a vulnerability | Tanya Janca

Microsoft’s wandering eyes, data labeling duties for senior devs at Meta, and prod is the new source code

Your SDLC needs a productivity context engine

The rapid adoption of AI in software development has transformed the traditional Software Development Life Cycle into an Agentic Development Life Cycle, creating significant operational friction. While AI-generated code has doubled pull request throughput, organizations face diminishing returns, with productivity gains...

How to harness your dragon with Fable, tech leaders turn to model routing, and coping with AI rockstars

All software is an optimization of tokens and time (and speed is still the moat) | AMD’s Anush Elangovan

Microsoft breaks free from OpenAI, using your harness to add drag instead of velocity, and the Linux built-ins you're sleeping on

How to turn your 1000x engineer into a 10x everyone | LinkedIn’s Karthik Ramgopal

The cost of intelligence will never be this cheap again, the failure of intensive specs, and how bots disguise inefficient workflows

Observability is your profit center now | Honeycomb’s Christine Yen

Observability serves as the critical foundation for managing the complexities of modern, AI-driven software development. As AI agents generate code at unprecedented speeds, traditional monitoring tools fail to capture the necessary context, necessitating a shift toward high-fidelity, columnar data stores that enable re...

What Google didn’t announce at I/O, defining “dark flow” and ignoring your first brain to build your second one

Android is the frontier for agents and other lessons from Google I/O | Matthew McCullough

Agents get their own AOL, Andrew gets published, and vibe coding is actually good?