Let’s talk about LLMskept by eddie • apr 10LLMs do not provide a revolutionary productivity gain in software development because the essential difficulty lies in specification, design, and testing, not code generation speed.AboutCircleCI · DORA · METR · Fred Brooks · Cursor · Next.jsFiled#ai-coding#developer-tools#productivity#software-engineeringRelatedThe cost of caring about software - Alex Rios SubstackAI reduces code-writing effort but shifts verification cost onto reviewers, creating an externality where comprehension debt rises despite faster generation.also on DORA, Cursor, #ai-coding, #software-engineering, #productivity, #developer-toolsThe Productivity-Experience Paradox - Annie VellaAI coding assistants boost engineers’ perceived productivity while eroding developer experience, especially flow state, revealing a growing decoupling of output and inner work satisfaction.also on DORA, #ai-coding, #software-engineering, #productivity, #developer-toolsLong horizon tasks with CodexOpenAI's Codex successfully built a design tool from scratch over 25 hours, demonstrating long-horizon agentic coding with milestone-based planning and continuous verification.also on METR, Cursor, #ai-coding, #software-engineering, #productivity, #developer-toolsWe are Changing our Developer Productivity Experiment Design - METRMETR’s late 2025 experiment on AI developer productivity suffers from selection bias because many developers refuse to work without AI, yielding unreliable speedup estimates.also on METR, #ai-coding, #software-engineering, #productivity, #developer-toolsBCMS - Headless CMS for developers and their clientsBCMS is a headless CMS enabling AI agents, clients, and developers to manage content via UI, API, or agents, with TypeScript generation, widget support, and integrations for Next.js, Nuxt, and more.also on Next.js, Cursor, #ai-coding, #developer-tools
Let’s talk about LLMs