Transcript
00:00:00every new cloud session and it forgets your repo your architecture and that one decision
00:00:05you already explained five times so you waste time just onboarding for a chatbot this is pi
00:00:12and it's trying to fix that pi or personal ai infrastructure gives cloud code memory
00:00:17structure and reusable workflows in this video i'll show you how it works
00:00:22where it helps and where it still gets annoying
00:00:30pi is basically a life operating system built on top of claude code it was created by daniel
00:00:36measler and you might know from fabric sex list and a lot of other security and ai workflows
00:00:42pi gives claude code an operating layer not just prompts not just a folder of notes an actual
00:00:49structure for memory skills workflows goals and processes it includes persistent memory across
00:00:55sessions and projects custom skills you can control a seven-step process called the algorithm that
00:01:02ensures claude acts in a set order it even has a local dashboard called pulse and a named digital
00:01:09assistant with its own working style it knows your projects your preferences and how you like to work
00:01:16that sounds nice but is this even different from things that we're already using so
00:01:20let's look at the part devs actually care does it reduce the amount of explaining we actually have
00:01:25to do if you enjoy coding tools to speed up your workflow be sure to subscribe we have videos coming
00:01:31out all the time now here's pi loaded inside cloud code i'm going to ask it something that would normally
00:01:38require a longer setup prompt help me plan the architecture for this new feature using my current
00:01:45project context past decisions and coding standards now let's watch the difference normally this is where
00:01:53i would pace the repo structure explain the service boundaries describe our coding style and i would
00:01:58hope that claude kind of pays attention and picks up on everything but here pi pulls from its existing
00:02:05memory it understands the project context and it runs through that algorithm that i already talked about
00:02:11and the answer is not just here's one way to build it it gives me a structured plan it includes what needs to
00:02:17change in order to make this work what risks to actually watch out for what assumptions it's making and how to verify that the work is actually done
00:02:26now that last part is actually pretty important because vague ai suggestions they don't really work well
00:02:32now that was really cool but how again is this different from just using cloud code normally well
00:02:37cloud code is already awesome most of the time but it still depends heavily on the context we give it
00:02:44in that session the better the ai gets the more you want to use it for serious work but serious work depends
00:02:50on the context it depends on our stack preferences goals testing strategy your personal definition of
00:02:58good code well pi adds the missing layer which is continuity it remembers the stuff that usually
00:03:04disappears between our sessions and compared to heavier agent frameworks like lang chain crew ai or
00:03:11custom multi-agent setups pi is more personal it's more text first you don't need to build a giant
00:03:17orchestration system just to get useful behavior from it the bigger thing is that it turns ai from a one-off
00:03:24answer machine into something closer like a co-worker for instance most of us don't need more random
00:03:30code suggestions we need continuity the custom skills are also a big part of the value you can create a
00:03:37skill for reviewing next js code security reviews planning debugging and the key is that these are not generic
00:03:44interest based practices they're your rules your preferences just with your way of working that is
00:03:51the one small difference but it becomes a big difference after i don't know 50 sessions now here's
00:03:57the part that keeps this from being a simple everyone should use this recommendation no it's not quite that
00:04:03pi is not an all-in-one tool that fixes everything and it's not a zero effort tool i'd sit or stack on other
00:04:11tools and skills you need to be comfortable with terminal git config files and the idea of maintaining
00:04:17your own ai operating layer the installer helps yeah but this is still dev tooling you'll probably spend
00:04:23time understanding the structure editing memory setting up your telos defining your ideal state figuring
00:04:30out which parts of the system actually matter for your workflow and if you heavily customize it upgrades
00:04:36become something you need to actually think about now that doesn't make it bad just you need to actually
00:04:42perfect it for yourself there's also the clod code side of it pi is built natively around clod code so
00:04:48if you're not already heavily in clod that might be a blocker for some of you api costs can matter too
00:04:55depending on how much you use it so you can use it right if you have the max plan then yeah sure it's fine but
00:05:01you don't need a personal life operating system to remember how to center a div at least i hope not so
00:05:08is pi worth using my take yeah but only for the right kind of developer it's worth using if you
00:05:13already live with clod code or agent ai tools and it's especially worth it if you want reusable ai
00:05:20workflows instead of writing the same prompt instructions over and over again but honestly you could probably skip
00:05:26over this at least i would wait if you want something completely plug and play the way i would think
00:05:31about pi is this it's not just another ai coding tool it's a personal developer infrastructure you
00:05:39spend time setting it up you define your preferences you create one or two useful skills then every future
00:05:46session it gets a little bit better because the assistant has more context to actually work from if you
00:05:51enjoy coding tools like this be sure to subscribe to the better stack channel we'll see you in another video
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