AI-powered solution streamlines the creation of Handover Documents, enhancing efficiency and professionalism in development projects using AWS...
Meet the Estimate Eliminators; a hackathon team that turned Jira backlogs into real capacity visibility with a steampunk-themed forecasting engine.
See howa hackathon team used AWS Step Functions, Bedrock, and a multi-agent architecture to automate client handoff documentations.
Metal Toad's Agentic AI Hackathon team builds autonomous AI solutions Capacity Forecasting System that shows delivery risks automatically.
Learn why forecasting human work is complex and how connecting Jira, time tracking, and Parallax turns capacity planning into data-driven delivery.
Talia Lippincott discusses what she learned during the 2025 hackathon.
Learn how Metal Toad migrated their Slack chatbot from AWS Lex to Amazon Bedrock AgentCore during a 2-day hackathon using Amazon Q Developer and AI.
Learn how Metal Toad's Hackathon team leveraged Amazon Q Developer to create interactive data visualizations from GenAI models, modernizing data...
Metal Toad's team upgraded ToadBot using AWS Bedrock AgentCore, adding multi-person shoutouts, thread detection, and emoji kudos for smarter...
Learn how our Hackathon 2025 team modernized ToadBot using AWS AgentCore, improving Slack shoutouts with multi-person kudos and cleaner channels.
Metal Toad's hackathon team built RPGMatch Master Bot using Amazon Bedrock, creating an AI assistant that answers player questions about TTRPGs...
From the AWS Samples on Github, we take a look at how to get real-time feedback from Step Functions
Convert AWS CDK to Terraform with Amazon Q Developer in a hackathon project for faster deployments.
Discover how Metal Toad's team utilized AWS services and ML to create a simple social network platform at their latest hackathon. Explore the...
In this latest event, in the last week of September we embarked on a journey to learn how to work with prompt engineering, unleashing the power of...
'Freedom to Fail' is occasionally touted as a key way to learn, but actual freedom to fail in the workplace is rare, so it's a treat to be able to...
As Large Language Models have risen to the everyday usage, Metal Toad took a few days to have a hackathon and see how much they could accomplish in 2...
This is a three part post about our experience using AWS Amplify to develop a food logging app for the Metal Toad hackathon. Here in part one we...
With a new emphasis on machine learning, our December 2021 Hackathon focused on building your own machine learning model. Learn about what our Toads...
From our online hackathon, read Team Brazuca's journey on using machine learning to create a model that can identify downed power lines.
It's that magical time of the year - our hackathon is back! Twice a year, we set aside the day-to-day and dive into an exciting 48-hour innovation...
Metal Toad's AWS hackathon showcased innovative remote work solutions, from real-time translation to virtual classrooms, proving remote...
What was the challenge/problem your team wanted to solve? Santa Claus was
A lot has changed during 2020. One is the number of people working remotely. That’s the Q4 hackathon theme was “Remote Work in 2020”.
It’s hackathon time again at Metal Toad! Twice a year, we set aside the day-to-day and dive into an exciting 48-hour innovation whirlwind of rapid...