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mradek commented on Ask HN: Advice for someone who wants to try AI-assisted coding?    · Posted by u/inglor_cz
mradek · 7 months ago
Cursor + Claude Code.

Take a couple hours to walk CC through your code and generate a CLAUDE.md. Note any architecture patterns you have already, or want to have, in your project.

This is probably the most important thing you can do to drive better results. As you work, try to ensure you're getting independently testable steps as you solve a problem. Take time planning, always have it reference your CLAUDE.md and existing code patterns. At the end of each step, I have CC determine whether or not to update the CLAUDE.md if there's any foundational updates.

The trick is to have a idea of what you're expecting out of these tools. If you can use the tool to break down the work into individual pieces you will find it is really fun and productive way to build software. You still have to think, but you are able to cover a lot more ground faster. I can't type out 4 files that are in my brain in 10 seconds.

mradek commented on Ask HN: How would you build second brain in the AI era?    · Posted by u/divan
mradek · 7 months ago
I would much rather just contribute to the AI directly. I am kind of tired having to use so many different tools. I don’t even want to login or authenticate with dozens or hundreds of them.

Why won’t these companies completely transform how we work/vibe by having everything go through the chat/voice ui? It should just work, for the end user.

I’d love to be an agnostic business analyst for OpenAI or Anthropic. Used to be a business analyst and I loved understanding as much about an industry or domain and then working with stakeholders to come up with solutions.

Imagine if there were teams of business analysts internally at these companies to build out that super app.. supply chain (procurement, resolutions, dispatch), partner management, customer support, calling someone video or voice, all my documents, everything I keep basically. I want to work and communicate with other people over it. It should just work. All work is communication between people right?

mradek commented on Ask HN: What do you dislike about ChatGPT and what needs improving?    · Posted by u/zyruh
mradek · 7 months ago
I would like to know how much context is remaining. Claude code gives a % remaining when it is close to exhaustion which is nice, but I'd like to always see it.

Also, I wish it was possible for the models to leverage local machine to increase/augment its context.

Also, one observation is that Claude.ai (the web UI) gets REALLY slow as the conversation gets longer. I'm on a M1 Pro 32gb MacbookPro, and it lags as I type.

I really enjoy using LLMs and would love to contribute any feedback as I use them heavily every day :)

mradek commented on Volvo delivers 5,000th electric semi   electrek.co/2025/06/29/vo... · Posted by u/JumpCrisscross
porphyra · 8 months ago
The one I linked is all electric.
mradek · 8 months ago
Wowza!! Ok I checked out the link. My bad for not reading ur post properly.

Yikes 100-250 mile range.

Probably fine for what it is.

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mradek commented on Volvo delivers 5,000th electric semi   electrek.co/2025/06/29/vo... · Posted by u/JumpCrisscross
porphyra · 8 months ago
For some reason, from a purely aesthetic standpoint, even brand new electric trucks in the US look very vintage, with their giant chrome grill and fender flares, compared to European and Asian trucks. [1]

[1] https://www.peterbilt.com/trucks/zero-emission/567EV

mradek · 8 months ago
Do you think it’s because they’re using diesel?

In my layman pov… A diesel engine can take the least aerodynamically shaped body and move it at 60 mph for 1k miles no problem. As an American, I guess it’s just natural to me that if it can move, then it should move with glory!!

Edit: my bad I didn’t properly read your post

mradek commented on Ask HN: Anyone interested in improving scheduling?    · Posted by u/mradek
nickpsecurity · 8 months ago
That's a very, well-explored domain. It's usually called planning. Some parts are called constraint, satisfaction problems. You should look at top, commercial products and survey papers in each to assess the stage of the art.

Also, before improving it, you might want to lay out what's wrong with it. What specific problems in the real world did you try to solve, what solutions did you try, and with what results?

If you're not doing the work, you probably won't have the experience to meaningfully improve it. It's better to work on solutions to problems in industries you're familiar with.

If you did the work and hit limitations, your interim goal should be to improve planning for those problems. Such narrower, specific goals might help you both succeed and get talented help. That should be in your problem statement or on your landing page.

That's all the help I can give since I have no time for developing stuff these days.

mradek · 8 months ago
I should have been clearer about the specific problems I'm tackling. I’ll try addressing your points.

> On domain expertise

I've been in the trenches for over a decade since falling in love with Gantt charts, getting my CAPM certificate, and graduating college. First as a project manager on multi-year, $XX–XXX M projects, then as a self-taught SWE building PM software (we IPO'd a few years back). My domain knowledge is in oil & gas, construction, supply chain optimization, and manufacturing to a lesser degree. The scheduling tools I know best are MSP and Primavera P6.

> On the existing landscape

I agree that this is a well-established field of study. I'm using Google or-tools and evaluated a few other constraint solvers. However, I believe the focus has been more theoretical because actual software and tooling that people use day-to-day lacks any collaborative execution and management automation. In my opinion, this is where and why projects always break down.

* This leads me to the specific problem which I should have shared earlier! *

Every non-software rollout I was part of ran late and over budget. There's a stat that 90%+ of projects miss their targets. By contrast, agile software teams shipping sprint-sized features almost never slipped. The difference? Real-time collaboration and adaptability. (And yes, I'm aware the scopes are radically different!)

The moment we move from "just" the world of bits to the world of steel, gas pipelines, trains, and dealing with hundreds or thousands of people, equipment, 3rd parties... even the best plans crumble.

> Real world experience

I could go into minute detail on each one, but I'll spare you the reading and myself the PTSD by condensing a few pain points:

- No shared, real-time view. Data lived “somewhere,” but never with field teams or execs.

- Black-box auto-levelers (like Primavera P6) only delay tasks they don’t split or reallocate crews without the PM doing a ton of work. Small hiccups can easily compound into slips that last days or even months. Licenses are expensive and access is gated so only “the scheduling team” sees the live plan. I’d argue it’s not a solved problem otherwise we would not have needed to also bring on dedicated scheduling consultants.

- Process workshops and Excel jockeying can’t keep pace with real-world churn. Any good plan evaporates once work actually starts. We did these things on every project but I don’t think it really made a difference because while people are a variable, bad tooling is exponential.

> My approach

Rather than building another optimization engine, I’m creating a collaborative platform where scheduling is a core feature. Most tools focus on the initial optimization but ignore the continuous re-planning that real projects require. Not everyone _needs_ the schedule obviously, but the schedule _definitely_ drives the project. I want to enable realtime ADAPTATION as conditions/constraints change in the field.

I’m particularly interested in connecting with others who’ve hit similar walls, or who have insights on bringing real-time collaboration to complex, distributed projects so I really appreciate your response.

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u/mradek

KarmaCake day317August 23, 2022
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