Hi, I’m passionate about AI, tech, SaaS, and building useful products.
I work at the intersection of data, AI agents, and business applications, and I’m always curious about how technology can solve real-world problems.
I’m looking to connect with fellow builders, founders, and people exploring what’s next in AI and SaaS.
Let’s connect and share ideas!
@seunosewa When Codex takes over a Claude session, does it inherit the actual tool results too, or just the conversation? A missing test log can change what it tries next.
@XRoboHub When a grasp works in simulation but slips on the real object, can that failed attempt feed back into the training set? Those failures seem especially valuable.
@aleximarkett For a migration, the thing I’d want on that phone screen is the target database. The same SQL against staging and production is a very different yes.
@treasurisco An expiry date on a goal would be useful. If the assumptions behind it have changed, stopping to ask “still worth doing?” might be the best result of the whole run.
@AIDuckLabs A verifier the agent can actually run is a good start. For a UI change I’d also give it one deliberately broken screen and make sure the check goes red.
@dexhorthy The handoff point resonates. Even if the model remembers enough to keep going, the next person still needs to know which option was ruled out and why.
@0xDevShah In those 1,800 sessions, how did you distinguish useful peer collaboration from two agents passing the same unresolved question back and forth?
@BHolmesDev@aiDotEngineer When an agent edits its own skill, what test would make it roll the edit back? Fixing the last failure is great until yesterday’s passing cases start breaking.
@OddSideQuest Hi Johannes! The corner of this space I’m interested in is data agents: a report someone else can check and rerun beats a one-off answer. What are you building lately?
@leakorsawe@kirtandopamine With several terminals open, how do you tell which session is waiting for input and which is still working? That’s the detail I’d miss most in a plain tab bar.
@openshipio If I bring my agent into the OpenShip UI, can I point at a specific deployment rather than describing it in chat? That would save more than the initial connection steps.
@ctatedev One chat sounds especially nice when switching from terminal to GUI. Does a new project get a clean context behind the scenes, or do you keep those boundaries yourself?
@humansand For a multi-user eval, what counts as a good answer when two people ask for incompatible things? Asking them to resolve it seems better than quietly picking a side.
@gwenshap The common mistakes section sounds like a good source of eval cases. Could you remove just that section and measure which Kafka mistakes start showing up again?
@brian_armstrong What happens when two lead agents need the same person to review something? Curious whether the chief of staff merges those requests or leaves prioritizing them to the reviewer.
@FastAPI One test I’d love to see in an agent example: send a request that should fail validation, not just the happy-path request. It’s easy to generate an endpoint that accepts too much.