Blogs›Reddit Feature Trails
See how major capabilities shipped, upgraded, and evolved across Reddit's engineering blog.
Publishing pulse
2026–2026 · peak 2026
7 posts mapped

This feature thread tracks Reddit's ongoing efforts to maintain the authenticity and safety of its platform, particularly in the face of evolving threats like AI-generated spam, bots, and harmful content. It began with the deployment of advanced AI tools to enhance automated defenses, significantly reducing user exposure to spam and inauthentic content, and drastically decreasing enforcement time for hateful or violent material. This post details significant upgrades to these AI tools, leading to the introduction of Rules Hub, which uses LLMs to evaluate rule intent rather than just keyword matching, and enhancements to Post & Comment Guidance and Safety Filters, aiming to eventually replace Automod's enforcement workflows. The thread also covers efforts to protect the platform from data scraping and spamming by modernizing legacy systems like Old Reddit and migrating critical bots and moderator workflows to the modern stack, alongside continued support for Reddit's Developer Platform with expanded capabilities and a migration program for third-party apps.
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This feature thread tracks the introduction and evolution of video commenting on Reddit. It began with the announcement of the 'Video in Comments' feature, allowing users to reply with video content to enhance expressiveness and authenticity in conversations. This expands existing engagement options beyond text, images, and GIFs, aiming to create more immersive and human-centric interactions within communities. The feature is now available to all Reddit users, with examples of its use in AMAs and community discussions. This post details the widespread availability of the feature, including how users can record or upload video replies, the safety systems in place for checking videos, and the eligibility criteria for communities.
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This feature thread tracks Reddit's evolution in integrating shopping experiences and enhancing product discovery for users. It began with tests to surface products within Reddit search, allowing users to find and explore products discussed in conversations, including AI-powered summaries, direct quotes, pricing, and purchase links. The integration extended to business profiles with dedicated product tabs. This post introduces the widespread availability of the native Shopify integration for global merchants and details new AI-powered product deep dives and business profile product tabs, allowing users to discover and explore products directly from Reddit conversations and business profiles.
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This feature thread tracks the evolution of Reddit's app advertising platform, focusing on performance improvements and measurement capabilities. It began with the introduction of Max campaigns for App Ads (beta) and the general availability of App Event Optimization (AEO), aiming to automate campaign settings and optimize for in-app conversions beyond just installs. The thread continues with the beta testing of Dual Attribution, a first-party attribution and measurement solution designed to provide advertisers with a clearer, more complete understanding of Reddit's role in the user decision journey by integrating first-party and third-party attributed reporting. These updates collectively aim to make Reddit a stronger and more transparent performance partner for app advertisers, leading to more visibility, automation, and confidence in growing investment on the platform.
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