LinearB Blog | Insights and Best Practices for Software Engineering Leaders

How a 30-day roadmap pause turned 700 engineers into an AI delivery engine

monday.com’s Sergei Liakhovetsky reveals the framework behind their 30-day "AI Sprint," explaining how a cell-based architecture and zero-bureaucracy policy...

Breaking the keyboard bottleneck: why voice is the future of AI development

Wispr CTO Sahaj Garg explains why the keyboard is the ultimate bottleneck in the age of vibe coding, detailing how context-aware dictation achieves a zero-edit...

Ralph loops make agentic coding reliable with ruthless context resets

HumanLayer founder Dex Horthy shares the origin story of the Ralph loop and breaks down his RPI (Research, Plan, Implement) methodology—a framework designed to...

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Slack is transforming work by integrating AI agents into everyday conversations

Slack’s Kurtis Kemple explains how the platform is evolving into an agentic work operating system where human intent meets autonomous ability. He breaks down...

AI-driven code generation is not doubling productivity without SDLC transformation

LinearB CEO Ori Keren reveals why the surge in AI code generation has failed to double productivity, explaining that SDLC bottlenecks—like code reviews and...

Why OpenAI Codex builds the agent first, not the product

OpenAI’s Thibault Sottiaux reveals how the Codex team ruthlessly simplifies agent design by removing manual scaffolding, solving context compaction at the...

How Spotify turned internal chaos into an industry standard

Spotify’s Tyson Singer explains how the company evolved from manual spreadsheets to Backstage, the global IDP standard, using Golden Paths to scale autonomy...

Mastering Ralph loops transforms software engineering with LLM automation

Geoffrey Huntley introduces the Ralph Wiggum Loop, a deterministic LLM pattern that manages context rot and compaction by treating the context window like...

14,000 Engineers, One Pipeline: How Capital One Standardizes for Speed

Capital One’s Ameesh Paleja explains how standardization acts as a force multiplier for 14,000 technologists, enabling AI-powered automation and a unified...

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