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SVPino shares Serro, a platform for engineering and project managers that serves as a central hub for people and AI agents to coordinate work. It aggregates data from tools like Slack, GitHub, and Linear, tracks decisions and progress, answers questions about changes, and converts meeting outcomes into actions to keep coding agents on track.
Garry Tan shares a quote from ElenaVerna arguing that if AI truly changes work, individual contributors using AI agents should be compensated more than people managers, since an IC can drive more impact than managers could in the pre-AI era.
Leanback launches on Product Hunt as a personal AI assistant for engineering managers that checks in with the team, reads tickets and calendars, and delivers a daily action plan in Slack. Built with Claude and Google AI, it offers a free tier.
An engineer built a complete production backend for a university LMS in just 12 days by managing a fleet of AI agents, demonstrating how AI can transform software development by enabling one person to function as a full engineering team.
Gergely Orosz shares a podcast conversation with Charity Majors about how AI is changing software development, arguing that skepticism is no longer rational in 2026, and discussing the shift from 'pets' to 'cattle' for code, increased need for validation, and the evolution of engineering management.
A director of engineering reflects on how the collapse in code production cost due to LLMs undermines traditional management assumptions, advocating for auditing practices by their underlying assumptions rather than age.
The DX Core 4 is a unified framework for measuring developer productivity that combines DORA, SPACE, and DevEx into four dimensions: speed, effectiveness, quality, and business impact. It is designed to provide actionable insights for engineering leaders at any organization size.
Superpowers 6 open-source project shows that AI can not only write code but also autonomously optimize development workflows (such as auditing, merging tasks, reducing waste). This marks the beginning of AI managing its own workflow, more rigorously than human managers. The article emphasizes that an honest evaluation system (eval) is key to avoiding self-deception.
This article argues that software engineers should work fewer hours and maintain slack time to be available for high-impact opportunities, rather than constantly grinding low-priority tickets.
The article discusses shifting from a leader-follower to a leader-leader approach in engineering management, emphasizing the pitfalls of micromanagement and the value of empowering teams.
An engineering leader observes that AI coding assistants enable startups to appear productive while masking the absence of strategic architectural thinking and management oversight, creating an illusion of health that delays necessary organizational investment.