Travis Fischer (@TravisFischer) profile picture

Building in the AI revolution and sharing what I learn about staying creative, productive and valuable. Previously Atlassian, Trello, Ubiquiti Networks.

Los Angeles, CA
Joined February 2009
Photo by Travis Fischer (@TravisFischer)Photo by Travis Fischer (@TravisFischer)Photo by Travis Fischer (@TravisFischer)Photo by Travis Fischer (@TravisFischer)Photo by Travis Fischer (@TravisFischer)Photo by Travis Fischer (@TravisFischer)Photo by Travis Fischer (@TravisFischer)Photo by Travis Fischer (@TravisFischer)Photo by Travis Fischer (@TravisFischer)Photo by Travis Fischer (@TravisFischer)
Read and write every day.
We're about to enter a period where not reading or writing becomes as ubiquitous as smoking once was. We can hope people will eventually realize this is bad for them, as they did with smoking. But this is far from certain; the cost may not be as obvious.
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So what happens if you name your Dot "Grok"?
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I CANNOT wait for models to be fast enough that the alpha isn't in how many ways you can split your attention. I HATE HATE HATE mental multi-threading. The promise of operating at a higher abstraction level that doesn't require so much attention thrashing is there is pockets but the reality just hasn't fully arrived yet.
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That man sounds fully "economic" to me.
I met my husband when he was pre-economic (YC founder who hadn’t made $ in years, still hasn’t) I keep him fed, a roof over our heads, and his hair cut. At least that sweat equity is now..just equity. He’s the best thing in my life. Keep your standards high.
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Agent: "You need to tromble the woogles on the gorbenshtein platform..." Me: "Can you just do that for me?" So many times a day...
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Travis Fischer retweeted
Accidentally said CI/CD instead of software factory and they kicked me out of SF
accidentally said microvm instead of agent sandbox and they kicked me out of SF
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Couldn't this particular demo be replaced by an RNG? I don't understand why you would want/need a model here?
Jev can generate game levels in real time. Faster and cheaper structured output could be a big deal for game dev!
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Travis Fischer retweeted
Ok, this is big! MCP now defines an extension specifically for discovering and loading Agent Skills from MCP servers (Save this, It’s worth reading how it works) The flow is pretty simple: - MCP Server - Discover available Skills - Get Skill metadata - Load the SKILL.md only when needed This is a huge step for better context window usage Instead of loading everything upfront, the agent can discover Skills and load only the one it needs from the MCP Great progress from the Model Context Protocol team! 👏 github.com/modelcontextproto…
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They have been for a minute. And also... the hard part about making games is NOT the implementation. Way more so than business software. The models are not particularly good at figuring out "fun" or "interesting" yet. That said, a lot of latent game design geniuses are now equipped to build. So ultimately, I co-sign.
AI-generated games is about to have a moment
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Travis Fischer retweeted
angry sliders
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A principal engineer showing you their software factory
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Sol is not coping well with the Astra launch... Response just now: > Wait need correct path. I inadvertently wrote malformed. Need fix. Ensure actual path. [normalization-service.ts?] use correct. Need continue. We cannot edit after final. Need produce correct. Let's redo full response carefully.
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Cloud coding agents seem so obviously like "The Way" it's suprising to me how not first class that paradigm is in the OpenAI and Anthropic product stacks.
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Agents that do leisure for you so you can stay focused on making agents to do work for you. Who’s building this?
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This class of take, isn't gonna age well. Yes, obviously you can just give an agent an gmail address an that will mostly work in most cases. And while I can't tell you the exact set of features that you would want email for agents to have today, I can tell you that there are a large and ever increasing set of reasons agent <> human. This fact will become more relevant the more agents can do and agent-native / agent-specific products will find huge tailwinds.
"Email for A.I. Agents" is such a dumb product idea. You can just make a freebie email address and give your agent access to it.
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Building an agent that quietly slides a $20 bill across the agentic counter while making loaded eye contact when requesting said reservation.
Question: when everyone’s agent is looking for the same reservation, ticket, cancellation, who is gonna get it? Is this like high frequency trading where you want to colocate next to the tix/rez servers? Does this become micro bidding using stablecoin contracts? So much fun
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I can count the number of times I've actually used an apps' "built-in agent" (beyond the obligatory "demo" run) on exactly 0 hands. I know I'm not every user but I think most existing SaaS apps don't need both.
This kind of pov has been making the rounds. Always gets a lot of likes. But existing SaaS businesses need both. They need a built-in agent that can operate the app and they need good MCP/hooks for Codex, Grokbot, etc. Users are hyper polarized rn. you need both
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Travis Fischer retweeted
there's so much left to be done in the application layer for agents - the success of @bot shows that we're barely scratching the surface
damn there really is no more alfa left in agents orbs maybe but that is mostly infra omp is the best harness sol/fable are great but don't feel amazing open source is getting better and better but will never be true sota on affordable hardware we peaked
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Hmm... Where have I seen that graph shape before? Oh yah, Anthropic's revenue.
I really don’t think any of us have internalized just how much software development has changed in these few years, truly insane numbers
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This is (directionally) the way. (1) Building with agents is a highly adjacent/overlapped but new/different skill from building the old fashioned way. (2) You learn a surprising amount watching someone work with an agent. I would argue it's actually much higher signal than watching them hand roll code because they have a lot more leverage at their disposal and you can see if/how they use it said leverage.
We're using a new method to hire engineers at @HelloUntangle. I think this playbook will become the standard for hiring technical talent in the age of agents. Here's how it works: 1. We ask candidates to submit a screen recording of their whole screen, shipping a new feature on a current app they work on. Note: This is usually 45 minutes of video - no editing or speeding up - we want to see them thinking, prompting and problem solving with the agent - we also want to see their devops skills. 2. We watch these videos and pick a subset to go through Round 2. 3. Round 2 is giving them a seat on @DevinAI so they have secure access to our repo. 4. We ask them to ship a new real-world feature and get the PR merge-ready. 5. We pay them a fixed fee to do this, and they have 16 hours to complete the work. 6. We watch the videos, review at all the Devin threads, have an agent do the same, and then choose which one to hire. Note: We don't have any meetings with the folks before any of these things. It's all about the work and the results.
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