







Hey, we are looking for both students/recent grads and mentors who are willing to meet with us to beta-test Synthesis. Synthesis is an Autodesk software created by FIRST students and alumni to help FIRST teams simulate their robots and the field, run and test code, and experiment with their CAD models. We are currently working on a new User Interface for our software, and we want to make sure that we provide the best tool possible for FIRST teams, so we want input from FIRST teams. Message for m...
How to Find Beta Testers and Run a Beta
Recruit the right beta testers and run a beta that yields real signal. Where to find testers, how to screen them, and how to turn feedback into decisions.

wharton-generative-ai-labs/AIBO
An open-source tool for running controlled behavioral experiments on AI systems at scale.
» Zork on the PDP-10 The Digital Antiquarian
One distinguishing trait of hackers is the way they never see any program as completely, definitively done; there are always additions to be made, rough edges to be smoothed. Certainly Adventure, impressive as it was, left plenty of room for improvement. On top of all that, though, one also has to consider that Adventure came to MIT from Don Woods of Stanford’s AI Lab, perhaps the only computer-science program in the country with a stature remotely comparable to that of MIT. MIT students are fiercely proud of their alma mater. If Stanford had done the adventure game first, MIT’s Dynamic Modeling Group could still do it better. And it didn’t hurt that the heritage of Project MAC and the Laboratory for Computer Science, not to mention the DMG itself, gifted them with quite some tools to bring to bear on the problem.

How to Do AI-Assisted Engineering
15 experienced engineers and engineering leaders share their real-world experiences with AI-assisted engineering.


Supersonic Labs (@supersonicai) on X
We're an AI research lab building fast, local, and accessible AI. Our mission is to make capable AI run on the hardware people already own.

Antithesis: autonomous software testing
Try the Antithesis autonomous testing platform and find bugs in your software with perfect reproducibility

Essential Reading for Agentic Engineers - July 2025 | Peter Steinberger
Fresh insights on AI-assisted development: practical experiences with Claude Code and the evolving landscape of full-breadth developers in the age of AI

Google Gemini
Meet Gemini, Google’s AI assistant. Get help with writing, planning, brainstorming, and more. Experience the power of generative AI.
Cobot Early Access Beta
Usage, Effects and Requirements for AI Coding Assistants in the Enterprise: An Empirical Study
The rise of large language models (LLMs) has accelerated the development of automated techniques and tools for supporting various software engineering tasks, e.g., program understanding, code generation, software testing, and program repair. As CodeLLMs are being employed toward automating these tasks, one question that arises, especially in enterprise settings, is whether these coding assistants and the code LLMs that power them are ready for real-world projects and enterprise use cases, and how do they impact the existing software engineering process and user experience. In this paper we survey 57 developers from different domains and with varying software engineering skill about their experience with AI coding assistants and CodeLLMs. We also reviewed 35 user surveys on the usage, experience and expectations of professionals and students using AI coding assistants and CodeLLMs. Based on our study findings and analysis of existing surveys, we discuss the requirements for AI-powered coding assistants.

Logan Kilpatrick on Twitter / X
We just shipped an infinite canvas in Google AI Studio so you can quickly prototype with the Gemini API, say hello to starter apps V2!The team has put so much effort into making this experience possible and it is an early glimpse of where we are going: https://t.co/0c9pE6hF9I pic.twitter.com/W5BrNSTKBo— Logan Kilpatrick (@OfficialLoganK) April 16, 2025
Design Engineering with Maggie Appleton
AI Prototype Generator for Product Teams | Magic Patterns
AI prototyping tool to turn prompts into production-ready UI. Use your design system, generate prototypes fast, and collaborate.

Got to talk at @aidotengineer.bsky.social conf last week about the need for collaborative AI engineering. All our current coding agents are single player. We're trying to scale up individual productivity, but creating tons of alignment problems in the process. We have no good tools for...