FP Block @FP_Block

As financial systems become more interconnected, understanding system behavior becomes just as important as adding new functionality. Who can take an action? What conditions need to be be met? What changes when state changes? A lot of the thinking behind DAML starts with making those relationships easier to model and reason about from the beginning.

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FP Block @FP_Block

3 months ago

Fresh data, fewer exploits. Kolme ingests directly from APIs or signed feeds, keeping apps transparent and resilient.

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FP Block @FP_Block

3 months ago

One of the benefits of Haskell is that it changes what engineers pay attention to. Instead of asking whether code works, teams spend more time asking whether its behavior is obvious, predictable, and easy to reason about. That becomes increasingly valuable in systems where mistakes are expensive and complexity accumulates over time.

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FP Block @FP_Block

3 months ago

One of the outcomes of AI may be that it increases the value of senior engineers rather than reducing it. Generating code is becoming easier. Understanding tradeoffs, identifying bad assumptions, designing resilient systems, and knowing where complexity will emerge is still hard. As development speeds increase, engineering judgment becomes even more important.

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FP Block @FP_Block

3 months ago

Not sandboxed Rust, the full power of server-side Rust for real applications

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FP Block @FP_Block

3 months ago

A surprising number of scaling challenges have nothing to do with traffic or performance. They show up when more teams, workflows, and dependencies start interacting with the same system. What has been the biggest source of complexity for your team as you've grown?

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FP Block @FP_Block

3 months ago

Gas fees hold builders back. Kolme removes them from the equation.

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FP Block @FP_Block

3 months ago

One app. One chain. Full performance, without competing for blockspace

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FP Block @FP_Block

3 months ago

One reason DAML continues to show up in discussions around financial infrastructure is that it encourages engineers to model business logic directly instead of burying it inside implementation details. The result is often a system that is easier to understand years later, when new teams, new participants, and new requirements have all been added on top of the original design.

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FP Block @FP_Block

4 months ago

Most blockchains are heavy and expensive to launch. Kolme chains are lean, fast to deploy, and simple to scale.

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FP Block @FP_Block

4 months ago

There's a common assumption that AI will reduce complexity in software development. In reality, it may do the opposite. AI can generate code, integrations, workflows, and applications faster than ever before. The challenge is that every new system still needs to be maintained, understood, secured, and evolved over time. The bottleneck is shifting from creating software to managing the complexity that comes with it.

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FP Block @FP_Block

4 months ago

Building Web3 Products That Actually Scale x.com/i/broadcasts/1…

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Genzio Media @Genzio

4 months ago

Everyone talks about scaling Web3. Few talk about how to actually do it. Join Genzio and @FP_Block live on June 11th at 10:00 AM EST as we break down what it takes to build Web3 products that scale. Link coming soon.

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FP Block @FP_Block

4 months ago

Most software gets harder to understand as it grows. Because as the code gets bigger, the number of hidden assumptions grows with it. One of the core ideas behind Haskell is making dependencies and behavior more explicit, so engineers can reason about systems with greater confidence as complexity increases.