Audit a feature's issues and hand them to an engineer's agent
An AI agent listed all issues with a feature and sent them to an engineer, whose own agent then addressed most of them automatically.
Shipping code, reviewing PRs, running infra, and fixing things at 3am.
198 use cases
An AI agent listed all issues with a feature and sent them to an engineer, whose own agent then addressed most of them automatically.
A user had Replit Agent rebuild a full-stack platform, add 7 features to a live RAG app, and make a demo video in about 12 hours.
A user used Replit Agent to build the GiveABook app and its demo video within a 24-hour buildathon.
The author had Claude run --help on Atlassian and GitLab CLIs, saved the actions as Markdown, and built lightweight agent plugins that cut token use.
bnistordev connected Devin to a Figma file via MCP and had it build an entire WordPress marketing site overnight.
Cognition's Jared Zoneraich uses Devin fan-out so child agents work in parallel on a migration split into six pieces.
A user had Replit Agent create a meeting app with dashboard, logic and analytics, and deploy it live without manual code changes.
Ryan Carson uses Devin's Test App feature to record and narrate feature clicks, fix bugs, and merge PRs with a !land command.
Ryan Carson uses Devin from iPhone, Slack, browser, GitHub and Linear for real work and reports higher PR shipping velocity.
Sid Nanda's company uses Devin in Slack to triage feedback, turn user issues into PRs, debug async flows and infra read-only, and let non-technical staff coauthor PRs.
A user had Replit Agent build a catch-em-all dog app whose rarity comes from scraped American Kennel Club regional population data.
Claude computer use produced 70 files for a planned feature but the code didn't work, so the author went back to manual work.
A CLI tool built on Twilio gives terminal agents a voice to make calls, with a dashboard for questions they can't answer.
A Codex agent resolved an issue passed to it in about 40 minutes, and an ops agent verified the fix back in Slack.
Built solo with coding agents, an agent computes BaZi charts, interprets them, detects language and takes on-chain payments for readings.
A commenter runs a persistent script that watches tasks and uses Cursor to open pull requests, building a documentation summarizer and a data pipeline.
Luke runs several Hermes agents that read Jira tickets, write code, review PRs, track costs, summarize docs and send updates.
A developer runs a fleet of sandboxed Claude Code instances that share files through MCP tools on a virtual filesystem, with an orchestrator handling AWS storage and audit logs.