ld-find-code-refs VS autocomplete

Taplytics is a broad A/B testing platform for marketing teams. While DevCycle is a feature flagging tool built for developers. Taplytics actually has feature flagging, but DevCycle is much more focused and plans to compete directly with incumbents like LaunchDarkly by building a better developer experience (more on how later). But with Taplytics they built so many features and every customer was using them in a different way that it became hard for such a small team to maintain. Meanwhile, feature flagging is a much narrower problem where most customers will have similar use cases. In addition, Taplytics required lots of face-to-face time selling to executives, while DevCycle is more of a bottoms-up, self-serve sales process. Finally, we didn't cover it in the interview but feature flagging is a huge market. LaunchDarkly was valued at $3billion in 2021.

I had a custom rule added to Little Snitch that blocked the following domains: launchdarkly.com, clientstream.launchdarkly.com, mobile.launchdarkly.com

10. LaunchDarkly

There are however Saas to implement directly a feature management system. Several solutions exist like LaunchDarkly, Flagsmith or Unleash.io. Using a SaaS (Software as a Service) feature flagging solution offers the advantage of a faster and more straightforward implementation process. These services are readily available and can be quickly integrated into your project.

Currently, there are numerous feature flag systems available. Options include our own company's open-source system, "Bucketeer", and the renowned SaaS "LaunchDarkly" among others. When comparing these, the following considerations might come into play:

A variety of tools can cover some of these use cases. PLG tools like Segment and journy.io can track activity. Maybe you use a feature flag service such as LaunchDarkly. Stripe or Chargebee might manage some of the billing-related aspects. Meanwhile, problems related to authentication might be visible in your Auth0 account. However, it’s unlikely that you’re using all these platforms. Even if you are, you probably can’t cover some use cases.

If you have not used it and wonder what I am talking about: https://launchdarkly.com/.

Having contributed to the Fig autocomplete specs, I find this sad. The Amazon product Fig was built into basically works as replacement, which is good. Still, the core value of this product are the open-source autocomplete specs: https://github.com/withfig/autocomplete. What's going to happen to that? It looks like they are still using it in the Amazon product. It should definitely be possible for an open-source re-implementation of the Fig UI to use those specs. There is a lot of knowledge encoded in there!

8. Fig

Fig is awesome but with signups blocked[1] for 2+mo already it's also as good as dead ¯\_(ツ)_/¯

* [1]: https://github.com/withfig/autocomplete/issues/2068

https://github.com/withfig/autocomplete is it this?

How is this different than https://fig.io/?

AWS CloudWatch Evidently The worst. No comment. AWS seems to perpetually lack a good DX for developers. It appears that they don't recognize or continually undervalue the importance of roles other than engineers, such as Product Managers or Designers. Very disappointing. However, AWS has recently acquired Fig, so looks like they're now pursuing an acquisition strategy instead. Let's see how it turns it out, and let's hope they don't ruin Fig, since it's such an useful tool.

slightly tangential, but where do people get awesome landing pages like linear(https://fig.io/. has similar landing page) etc. Do they build them in-house or buy templates somewhere? Many of the recently launched YC companies have awesome landing pages. eg. https://automorphic.ai/,

I love this product, have contributed several times to it, and I'm a little torn. One thing I am thinking about now, is that the completion specs are MIT-licensed, and it should be possible to use them to re-implement a basic open-source version of the autocompletion product... https://github.com/withfig/autocomplete