@chaddonohue

Software engineer. I make digital products, create user experiences, and enjoy talking about anything related to design/development.

chaddonohue.dev
Joined November 2009
  • Tweets619
  • Following124
  • Followers191
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Chad Donohue retweeted
Nicolás Bevacqua
@nzgbSep 30
we are looking for a Design Systems Lead to take @tryramp's DS to the next-level ping me if you think you are the right mix of an idealist, pragmatist, ai maximalist, driven, excited about the future, and understand the tradeoffs of what it takes for Eng x Design to excel
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Finished up this little animation of my office desk. It's now live at chaddonohue.dev. Really fun to work on this and learn about layering a scene.
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I started designing a scene of my desk using a pixel art style for my personal site. Pretty happy with how this turned out and looking forward to adding more states to this (weather, time of day, lighting, etc).
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Chad Donohue retweeted
Eric Glyman
@eglymanJun 4
Today, Ramp raised $750M at a $44B valuation. Last time we grew this fast, we were 1/20th the size. For 2000 years, business was built on two pillars. Today, a third: intelligence. It’s your least governed cost. It’s also your single greatest opportunity.
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I spent years on call for month-end closes at a factoring company, balancing accounts by hand. Now, from @tryramp, firms can close up to 60% faster with AI agents on Stack. Any client, no Ramp card needed. ramp.com/stack
Introducing Stack by Ramp

ALT Introducing Stack by Ramp

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Chad Donohue retweeted
Eric Glyman
@eglymanJun 3
Introducing Stack. The AI operating system that lets accounting firms take on more clients without hiring. Learns your firm's process, runs the close, posts the journals. Fully auditable. We’re living through the biggest shift in accounting since the spreadsheet.
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Big news! I'm joining @tryramp on April 13! 🎉 Been in awe of what this team has built. Couldn't be more excited to be part of it. New chapter starts soon. Let's go! 🚀
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Using our new `issue-investigator` skill, I was not only able to easily trace Cloudwatch logs but also generate a nice interactive artifact to illustrate why the new suggested fix works. Seeing what happened is great. Visualizing how it can be fixed is even better!
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Manual reviews are still the bottleneck, but AI only amplifies an existing process problem. The easiest solution is for a team to make reviews the 1st thing they do before anything else. Before email, chat, or their own work. By standup, there shouldn’t be a review missing.
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I've been tinkering with this little stock picker (paper money) over the past few weeks (borrowed some visual ideas from @burcs) . All built on top of @claudeai skills. This runs at market open/close to train itself over time. Really neat to see this visualized.
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I recently started making a roguelite game where you play as a user that works through software tickets by prompting LLMs. You get a randomly assigned agent each time and have to prompt around the personalities. 😄
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Built a Claude Code skill that queries our production CloudWatch logs. Now when something breaks, I can say "What errors happened in the last hour?" and @claudeai goes digging through the logs for me.
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After finding the error, Claude offers next steps: - Look at source code - Check git history for recent changes - Search for similar errors Guides you through the investigation, not just the log query.
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If you have repetitive workflows with CLI tools, try wrapping them in a Claude Code skill. A markdown file describing the workflow + a bash script handling the details goes a long way. The LLM brings the flexibility, your scripts bring the context.
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Very nice little UX touch from the @conductor_build team. Shortcut the last used editor that I opened something in. It's the little things 👏.
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I can now just type /release. @claude checks what's already done, asks what I want to do, runs it, monitors CI, handles errors. One command. Here's how to build your own with Claude Code skills.
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Oops, totally meant to credit @claudeai for this.
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