Explicit recommendations in documentation significantly influence AI agent behavior, according to experiments by Fabrizio Ferri-Benedetti, who found that adding a 'Recommended approach' block to ficti…
In the ninth episode of the AI & Docs podcast, Tom and host talk with Sarah Deaton, a technical writer at Anthropic, about how documentation work shifts from writing to orchestrating when AI automates…
A tech writer advises job-seeking peers to abandon traditional books and courses in favor of social learning and personal projects to stay relevant in the AI age. The writer recommends joining communi…
A glossary defines terms used in technical writing and AI, including agentic workflows, LLMs, MCP, RAG, and vibe coding, along with coined terms like devling, product truth, documentation theater, the…
Technical documentation is now being written primarily to feed AI agents, not human readers, forcing technical writers to split their role between optimizing content for machine consumption and provid…
A tech writer fine-tuned a local LLM to replicate the style of 1980s and 1990s software documentation, using a 37-million-word corpus of scanned Microsoft manuals from the Bitsavers archive. The exper…
The eighth episode of the "AI & Docs" podcast series explores what makes documentation genuinely beautiful versus merely functional, applying Calvino's literary principles to technical writing. Hosts …
Patrick Bosek hosted a discussion on the *Behind the Docs* podcast about the future of technical writing, arguing that AI functions best as a collaborator rather than a replacement for human writers. …
A technical writer at Elastic has developed a tiered system for AI-assisted documentation workflows, using GitHub Agentic Workflows to run quality checks in CI pipelines. The system combines determini…
AI-generated "vibe-coded" tools are flooding the internet, but most are useless to anyone except their creators, argues a developer. These tools lack reach, social integration, and finish—three qualit…