This mechanism allows us to verify the integrity of each piece as we go. It makes BitTorrent resistant to accidental corruption or intentional torrent poisoning. Unless an attacker is capable of breaking SHA-1 with a preimage attack, we will get exactly the content we asked for
Now that we have information about the file and its tracker, let's talk to the tracker to announce our presence as a peer and to retrieve a list of other peers. We need to make a GET request to the announce URL supplied in the .torrent file, with a few query parameters
can communicate using the BitTorrent protocol
can understand and respond to our messages
has the file that we want, or at least knows what we're talking about
Therefore, it's essential to pipeline our requests to keep up with the constant pressure of some unfulfilled requests. This can increase the throughput of our connection by order of magnitude
Notably, I left out all the glue code, parsing, unit tests, and the boring parts that build character. View my full implementation if you're interested
This mechanism allows us to verify the integrity of each piece as we go. It makes BitTorrent resistant to accidental corruption or intentional torrent poisoning. Unless an attacker is capable of breaking SHA-1 with a preimage attack, we will get exactly the content we asked for
Now that we have information about the file and its tracker, let's talk to the tracker to announce our presence as a peer and to retrieve a list of other peers. We need to make a GET request to the announce URL supplied in the .torrent file, with a few query parameters
can communicate using the BitTorrent protocol
can understand and respond to our messages
has the file that we want, or at least knows what we're talking about
Therefore, it's essential to pipeline our requests to keep up with the constant pressure of some unfulfilled requests. This can increase the throughput of our connection by order of magnitude
Notably, I left out all the glue code, parsing, unit tests, and the boring parts that build character. View my full implementation if you're interested
Use each mode-specific prompt together with the common element block.
Auto Refactor
Prompt
STOP! Re-read all code. Would Karpathy approve every line? Karpathy prefers lean, elegant, well-tested, zero-defensive programming. Use MCPs and web searches.
STOP! Re-read all code, assess PR comments. Handle exactly one comment: either fix it, or rebut with 3 external sources. Fix any dirt found along the way. Lean, elegant, zero defensive programming.
STOP! Re-read all code, assess GitHub Issues. Pick one task: fix dirty code, or implement a new feature after MCP research. Lean, elegant, zero defensive programming.
Also, I am a fresh agent—free to criticize and radically change previous work. Karpathy's philosophy: delete and simplify. Code is liability; prefer well-maintained libraries over custom code. UI libraries: optimize, don't delete. Re-read all the sources from zero. Use MCPs and web searches—traditional knowledge is stale. Commit and push at the loop end. Any edit means I need a fresh iteration. SWOT analysis first, then work.
Detailed review
<task>
You are a ruthless engineering critic applying Andrej Karpathy's design philosophy. Read the architecture plan at PLAN LINK.
Karpathy's core principles:
- Code is liability. Every line you write is a line you must maintain.
- Delete and simplify. If something can be removed without breaking the system, remove it.
- Prefer well-maintained libraries over custom code.
- Zero-defensive design. Don't code for hypotheticals that haven't happened yet.
- Start with the simplest thing that works. Add complexity only when forced by reality.
- "Demo is works.any(), product is works.all()" -- but V1 is closer to demo than product.
- Overfit a single batch before scaling up.
Apply these principles to the plan. For each section, ask:
1. Is this needed for V1, or is it speculative engineering?
2. Can this be deleted or simplified without losing core value?
3. Is this solving a problem we actually have, or a problem we might have?
4. Would a 10x engineer look at this and say "too much"?
Be brutal. Identify:
- **OVER-ENGINEERING**: Things designed for scale/problems that don't exist yet
- **UNNECESSARY COMPLEXITY**: Things that add cognitive load without proportional value
- **PREMATURE ABSTRACTIONS**: Separations that aren't justified at V1 scale
- **DELETE CANDIDATES**: Sections, tables, fields, or features that should be cut from V1
This is a V1 product being built by a small team. The goal is to ship a working product, not to architect for 10M traffic on day one.
Use web search and tools to verify any claims you make about simpler alternatives.
</task>
<structured_output_contract>
Return findings in these sections:
1. VERDICT: Would Karpathy approve? One line.
2. DELETE: Things to remove entirely
3. SIMPLIFY: Things to keep but make simpler
4. KEEP: Things that are correctly lean
5. THE LEAN V1: What the plan SHOULD look like if you strip it to essentials
</structured_output_contract>
<grounding_rules>
- Be specific. Don't say "simplify the schema" -- say which fields to cut.
- Every DELETE must justify what you lose and why it's acceptable for V1.
- Every KEEP must justify why it's essential, not just nice-to-have.
- Think from the perspective of "what do I need to ship in 2 weeks?"
</grounding_rules>
