Jesse

I experimenting with a new idea, it involves social, current events, prediction markets, perps, options etc. I am looking for some people to do 15 min calls with to demo what I am building and get first reactions and feedback on what would get you to use this If you are open to chatting with me please hit my dms

@lay2000lbs @Lazer_HQ @CryptoStatuette @0x_reed @james_mccomish @freyja__3991 @iykAzorji Support for World coming soon!

@Lazer_HQ @CryptoStatuette @sudojbird @0x_reed @james_mccomish @freyja__3991 @iykAzorji World 👀

We shipped an Agent CLI for building onchain mini apps. Skip the template. Build only what you need. Try it, link in thread 👇 Contributors: @sudojbird, @0x_reed, @james_mccomish, @freyja__3991, @iykAzorji

Learn more here: miniapps.lazer.tools

We need more innovators building and testing ideas onchain. That's why I pushed our Crypto team at Lazer to explore how we could easily equip agents with the needed context and skills to build and publish apps on @base, @farcaster_xyz, and soon @worldnetwork That evolved into the Lazer Mini App CLI. Simply install, run /lazer, and describe what you want. The agent handles auth, wallets, contracts, onchain data, and any platform adapters needed to publish your app.

In the corporate world, if you have: - a decent salary, - a manager who trusts you without micromanaging, - the flexibility of a hybrid work setup, - the freedom to take time off when needed, - opportunities for growth and skill development, - a supportive and inclusive company culture, You’re already among the top 1% of professionals enjoying a truly balanced and fulfilling work life.

82 ☀️

@AtownBrown Happy birthday ser!

Starting my 38th birthday off with Yoga in the clouds

@beaniemaxi 🤦🏽

You either die a crypto founder or you live long enough to see yourself become an AI consultant.

@jimchang @base @mpp @tempo @crossmint agents are just humans in sheep's clothing. They still function the same wrt needing funds and motive to spend like a consumer.

last week i spent 45 minutes funding my agents. x402 needs a @base wallet @mpp needs a @tempo wallet lobster cash (@crossmint) needs a solana wallet but none of these frameworks help you get money there. they assume you'll just figure it out. so i built Kibble. a skill that teaches your agent how to ask for funds. it sends you a payment link, you pick whatever token you have, and @lifiprotocol routes it to the agent's wallet. feed your agent with any token, on any chain. kibble.sh

Remote Control - Session Spawning: Run claude remote-control and then spawn a NEW local session in the mobile app. * Out to Max, Team, and Enterprise (>=2.1.74) *Have GH set up on mobile (relaxing soon) * Working on speeding up session start-time

👏👏

tl;dr hire ex-founders

Run this prompt frequently. You're welcome.

The new moat isn't a clever model, it's a team of 10x operators. At @Lazer_HQ, we've been quietly building one of the best-equipped engineering teams to help companies fundamentally evolve how they build software, implement agentic systems, and reshape their workflows for what's coming next.

@dwr You should only hire staff level engineers

I'm hiring people for biz dev and biz ops roles at Tempo. Send me a DM if you're interested. Please be succinct and link to your LinkedIn.

software is still about thinking software has always been about taking ambiguous human needs and crystallizing them into precise, interlocking systems. the craft is in the breakdown: which abstractions to create, where boundaries should live, how pieces communicate. coding with ai today creates a new trap: the illusion of speed without structure. you can generate code fast, but without clear system architecture – the real boundaries, the actual invariants, the core abstractions – you end up with a pile that works until it doesn't. it's slop because there's no coherent mental model underneath. ai doesn't replace systems thinking – it amplifies the cost of not doing it. if you don't know what you want structurally, ai fills gaps with whatever pattern it's seen most. you get generic solutions to specific problems. coupled code where you needed clean boundaries. three different ways of doing the same thing because you never specified the one way. as Cursor handles longer tasks, the gap between "vaguely right direction" and "precisely understood system" compounds exponentially. when agents execute 100 steps instead of 10, your role becomes more important, not less. the skill shifts from "writing every line" to "holding the system in your head and communicating its essence": - define boundaries – what are the core abstractions? what should this component know? where does state live? - specify invariants – what must always be true? what are the constants and defaults that make the system work? - guide decomposition – how should this break down? what's the natural structure? what's stable vs likely to change? - maintain coherence – as ai generates more code, you ensure it fits the mental model, follows patterns, respects boundaries. this is what great architects and designers do: they don't write every line, but they hold the system design and guide toward coherence. agents are just very fast, very literal team members. the danger is skipping the thinking because ai makes it feel optional. people prompt their way into codebases they don't understand. can't debug because they never designed it. can't extend because there's no structure, just accumulated features. people who think deeply about systems can now move 100x faster. you spend time on the hard problem – understanding what you're building and why – and ai handles mechanical translation. you're not bogged down in syntax, so you stay in the architectural layer longer. the future isn't "ai replaces programmers" or "everyone can code now." it's "people who think clearly about systems build incredibly fast, and people who don't generate slop at scale." the skill becomes: holding complexity, breaking it down cleanly, communicating structure precisely. less syntax, more systems. less implementation, more architecture. less writing code, more designing coherence. humans are great at seeing patterns, understanding tradeoffs, making judgment calls about how things should fit together. ai can't save you from unclear thinking – it just makes unclear thinking run faster.

Founders: The winning sales deck structure: 1. Market forces (why now) 2. Current challenges (their pain) 3. Future vision (the dream) 4. Your solution (the bridge) 5. Proof points (why believe) 6. Next steps (the path) Tell a story, don't list features.

@0xAneri @coinbase Well said.

I lead AI acceleration for our product discipline at @coinbase If you’re doing it right, the mexican standoff isn’t PM vs. designer vs. engineer. It’s you vs. the version of you still working like it’s 2023 or even 2025. We focus on using AI to work better with design and eng (shared context, collaborating more easily, faster from idea to ship) and constantly trying to disrupt ourselves as PMs.

@chintanturakhia +1

nah, wrong. at least 2 weeks. we are doing an AI retooling spike (again). Anyone interested in the playbook?

"Programmers will automate themselves out of existence." That's what they said. And programmers laughed so hard they couldn't respond. Two years into the AI revolution, here's what actually happened: What the doomers predicted: 1./ AI writes all the code 2./ Developers become obsolete 3./ Only managers and marketers survive 4./ Programming becomes a dead career What actually happened: 1./ AI writes code that needs debugging by developers 2./ Developers spend more time reviewing AI output than writing from scratch 3./ The skill gap between good and bad developers got WIDER, not narrower 4./ Demand for senior developers who understand what AI can't do went UP The brutal irony nobody saw coming: AI didn't replace developers. It replaced the developers who thought AI would do their job for them. Here's the real shift: - Junior devs who learn to prompt AI? Productive. - Senior devs who understand system design? Irreplaceable. - Developers who just copy-paste without understanding? Already obsolete (AI just made it obvious). - Managers who thought they could skip hiring developers? Drowning in unmaintainable AI-generated code. We're not laughing because we're safe. We're laughing because the people who predicted our extinction don't understand what we actually do. AI is a tool. And like every tool before it, it makes good developers better and exposes bad developers faster.