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Tuesday, June 30, 2026

Constructing Software program That Individuals Love


Constructing nice software program all the time entails technical downside fixing, however the perfect software program goes past perform. It feels fluid, coherent, and genuinely enjoyable to make use of. This high quality lives on the intersection of engineering and design, and only a few groups know methods to reliably produce it.

Metalab is an engineering and design studio that has labored with a few of the most profitable firms in tech, together with Apple, Slack, Uber, and Instacart. The studio is understood for bringing collectively software program engineering and design craft in a method that few studios can match.

Wesley Yu is the VP of Engineering at Metalab, the place he leads the groups that design and construct digital merchandise for early-stage firms. On this episode, Wesley joins Josh Goldberg to debate how Metalab approaches tech stack choice for shopper initiatives, why company work calls for a bias towards boring and steady expertise, how iterative improvement and intentionally ugly apps result in higher last merchandise, and the way AI instruments are altering the boundary between design and engineering.

Josh Goldberg is an unbiased full time open supply developer within the TypeScript ecosystem. He works on initiatives that assist builders write higher TypeScript extra simply, most notably on typescript-eslint: the tooling that allows ESLint and Prettier to run on TypeScript code. Josh frequently contributes to open supply initiatives within the ecosystem reminiscent of ESLint and TypeScript. Josh is a Microsoft MVP for developer applied sciences and the creator of the acclaimed Studying TypeScript (O’Reilly), a cherished useful resource for any developer in search of to study TypeScript with none prior expertise exterior of JavaScript. Josh frequently presents talks and workshops at bootcamps, conferences, and meetups to share information on TypeScript, static evaluation, open supply, and basic frontend and internet improvement.

Please click on right here to see the transcript of this episode.

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Brokers are getting smarter daily. However even the neatest brokers get caught with out the proper context and the proper instruments. That’s the place Notion is available in.

With the latest launch of Customized Brokers, Notion grew to become the collaborative AI workspace the place groups and brokers work aspect by aspect. And now, their new Developer Platform is popping that workspace into infrastructure builders can construct on.

Most agent platforms are single-player, making you get up your individual infrastructure simply to begin. Notion’s Developer Platform flips each. You get primitives to sync any knowledge supply in, give your Customized Brokers instruments that plain MCP can’t ship, and orchestrate brokers like Claude or Codex alongside your staff. The CLI authenticates in a single line, and Staff run on Notion’s runtime, so there’s nothing to provision.

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Each AI staff finally hits the identical wall. The fashions are strong, the infra is strong, however the knowledge coming in is hours outdated as a result of the pipeline is batch when it must be streaming and no person’s had time to repair it. That’s not a modeling downside. That’s a pipeline downside.

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