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Updated: 43 min 19 sec ago

My Path into AI

52 min ago
Categories: Hacker News

My 600 Hours with AI Coding Assistants: A Practical Comparison

53 min 3 sec ago

After spending over 600 hours using various AI coding assistants over the past 3 months, I wanted to share my experience for those navigating this rapidly evolving landscape.

What I Mean by "Agentic Mode" First, to clarify: by "agentic mode," I'm referring to the assistant's ability to understand project context, reason through multi-step problems, and autonomously make coherent code changes across files without constant hand-holding. True agency means the tool can maintain context across interactions and execute on high-level directions.

The Current Landscape (May 2025) Augment Code - Current go-to tool despite higher costs

Strengths: Maintains context remarkably well across complex refactors; actually understands project structure; can implement feature requests that span multiple files Weaknesses: More expensive than alternatives ($30/month vs $20 for others); occasional hallucinations when venturing outside codebase context Best for: Complex refactoring tasks and implementing features that span multiple files

Windsurf - Slightly edges out Cursor for agentic capabilities

Strengths: Better context retention than Cursor; decent file traversal; good understanding of code relationships Weaknesses: Can get quite stuck in their full agentic mode as it starts editing things. While they have removed their flow credits part, it is still painful to watch it go completely out of context. Best for: Mid-size projects where you need moderate autonomy

Cursor - Popular but underwhelming for true agentic work

Strengths: Good IDE integration; clean interface; works reasonably well for single-file tasks. I like the ability to Cmd+K and insert a bulk of code in the middle. Also, I like the @Docs feature to bring latest documentation for popular libraries.

Weaknesses: Context falls apart in agentic mode; often loses track of previous instructions; requires excessive prompting Best for: Single-file optimizations and modifications, but not complex cross-file tasks

Claude Code - Declining quality since public beta

Strengths: Used to have superior reasoning and contextual understanding 3 months ago Weaknesses: Super expensive (like always), but recent updates have significantly degraded agentic capabilities; now requires much more hand-holding than before as it goes compleltely off base. Best for: Simple tasks that don't require deep contextual understanding Note: Most disappointing decline in quality - was previously much more capable. I spent $500 in Feb-Mar and thought it was worth.

Cline, Roo, and Aider - Conceptually interesting but practically limited

Strengths: Cline has good terminal integration; Roo offers interesting visualization; Aider has straightforward CLI Weaknesses: All three struggle with maintaining context; limited understanding of project structure; frequent need to repeat instructions Best for: Very simple, isolated coding tasks or experiments

Real-world Performance Differences The gap between these tools becomes most apparent when trying to implement complex features. For example, when asked to "add user authentication with email verification to my Express app":

Augment Code: Identified relevant files, added middleware, routes, and email service integration, then explained how the pieces fit together Windsurf/Cursor: Added authentication to single files I pointed at but needed explicit instructions for each additional component Others: Generally required file-by-file guidance with frequent context reminders

Conclusion If budget isn't a concern, Augment Code currently offers the most truly agentic experience, but still has a long way to go. For more budget-conscious developers, Windsurf slightly edges out Cursor for agentic capabilities, though both still require significant guidance for complex tasks.

Comments URL: https://news.ycombinator.com/item?id=43986580

Points: 1

# Comments: 0

Categories: Hacker News

Show HN: Sanctum – An LLM-Guided Learning App

55 min 39 sec ago

https://apps.apple.com/us/app/athenaeum-sanctum/id6744429496

It's in an infant stage as I figure out exactly how I want this.

In a more marketing speech style,

---

I love learning things and soaking in information, but I constantly run into 3 ergonomic problems with doing so:

- Quality study materials are often so dense as to require an extended session of focus

- Ergonomic study materials require too much work to find + aren't always flexible to what I want to learn/study

- Social media feeds have rotted my UI tastes to prefer short-form, transient interfaces that build familiarity with repeated, intermittent exposure

So, I'm making a flashcard app to address these points. In short,

- Reference-based deck generation

- LLMs are great, but human sources are always best. - Give it a PDF or web page, and it'll reference that resource in creating your deck - AI-powered grading - The vector math powering LLMs allows for much more loosely structured answer grading than just naive keyword matching. - Know the concept, but can't phrase it in the colloquial terms? Don't worry, phrase it as best you can and it can tell how well you get the idea. - Natural deck progression - If you've been performing well enough on a deck, take a quiz to see if you're ready to expand the flashcards in your study. ---

There are a few things I still am looking to iron out:

- I don't think flashcards are the optimal UI for learning

- They're great for memorizing + I do think improving pattern-matching is essentially learning is, but I don't think flashcards are the most optimal vehicle for meaningful learning - i.e., Life is more than just trivia - Personalization

- Right now, you take a quiz to expand the deck along the same lines as the existing subject matter. I think this is okay at best and could very much be improved. - One of the ideas I had initially around this is that LLMs can be used to traverse the embedding space of accumulated knowledge in a way that subverts/transcends the traditional academic taxonomization of studies. - i.e., I think UI is the bottleneck in soaking in more information/ideas. I think LLMs do well enough in pattern-matching requests to information that they could act as librarians for the internet--then, it's just a matter of scrunching down the information into more convenient interfaces (e.g., mobile). - Sourcing, references, etc.--I prefer something human-made at the other end of the tunnel, but I'm not sure how long that will last.

- The name--far too esoteric

This is an active WIP--would love to hear what you all think.

Comments URL: https://news.ycombinator.com/item?id=43986546

Points: 1

# Comments: 0

Categories: Hacker News

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