Ask HN: What are tools you have made for yourself since the advent of AI?
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Developers share tools they built for themselves since AI became widely available.
The thread is an Ask HN post soliciting examples of tools developers have created for personal use in the era of large language models. The article body is unavailable, but the question invites respondents to describe custom software, scripts, and applications they built leveraging AI assistance. Common themes in responses include personal knowledge management systems, data organization and labeling tools, productivity dashboards, and automation for repetitive tasks. Several commenters emphasize that AI serves as a co-developer or debugging partner rather than the primary architect, enabling faster prototyping and reducing barriers for learning new languages or frameworks.
What commenters are saying
Respondents report building data-focused tools (knowledge bases, dataset builders, personal CRM systems), productivity trackers (dashboards, activity logging, form automation), and specialized utilities (map generators, spell-checkers, game browser tools). A strong theme: AI enables rapid prototyping for personal, janky, single-user tools that would not ship to production but solve real problems. One commenter notes exposing AI-queryable contexts via MCP (Model Context Protocol) reduces hallucination by letting agents work with pre-aggregated summaries rather than raw data. Another highlights learning a new language (Go) with zero prior knowledge by using AI to generate 300+ files. Sentiment is pragmatic: AI is valued as an accelerant for small, domain-specific projects, not necessarily for clean architecture or shipping polish.