π Problem Statement
The README documents: "AI Features β Groq SDK β llama-3.3-70b-versatile + node-cache." In server/server.js, AI responses are cached using node-cache. The cache key is almost certainly derived only from the prompt text (the AI mode + language + request type).
This creates a critical correctness bug: the user's actual code is not part of the cache key.
When User A asks "Explain this code" on their Python bubble sort implementation, the response is cached. When User B asks "Explain this code" on their JavaScript binary search 10 minutes later, if the cache key doesn't include the code, User B receives User A's explanation of bubble sort β completely wrong, and potentially confusing enough to cause real debugging harm.
Additionally, a user who fixes their code and asks "Fix this" again within 10 minutes gets the same fix suggestion for their old, already-fixed code.
Root Cause
// Likely current cache key (server/routes/ai.js or server/server.js)
const cacheKey = `${aiMode}_${language}`; // β Missing the code content
// Should be:
const cacheKey = crypto
.createHash('sha256')
.update(`${aiMode}_${language}_${userCode}_${stdin}`)
.digest('hex');
Proposed Fix
Include a hash of the actual code content in the cache key. Use SHA-256 (no security requirement, just uniqueness):
// server/routes/ai.js or server/services/aiService.js
const crypto = require('crypto');
function buildCacheKey(mode, language, code, stdin = '') {
const contentHash = crypto
.createHash('sha256')
.update(`${code}${stdin}`)
.digest('hex')
.slice(0, 16); // First 16 chars is sufficient for uniqueness
return `${mode}_${language}_${contentHash}`;
}
Also reduce the TTL for "Fix" and "Explain" modes to 5 minutes (code changes frequently) while keeping the longer TTL for "Generate Tests" (test generation is less code-sensitive).
Files to Modify
| File |
Change |
server/routes/ai.js (or equivalent) |
Update buildCacheKey() to include code hash |
Suggested labels: bug, backend, performance, level: beginner
I would like to work on this. Could you please assign it to me?
π Problem Statement
The README documents: "AI Features β Groq SDK β llama-3.3-70b-versatile + node-cache." In
server/server.js, AI responses are cached usingnode-cache. The cache key is almost certainly derived only from theprompttext (the AI mode + language + request type).This creates a critical correctness bug: the user's actual code is not part of the cache key.
When User A asks "Explain this code" on their Python bubble sort implementation, the response is cached. When User B asks "Explain this code" on their JavaScript binary search 10 minutes later, if the cache key doesn't include the code, User B receives User A's explanation of bubble sort β completely wrong, and potentially confusing enough to cause real debugging harm.
Additionally, a user who fixes their code and asks "Fix this" again within 10 minutes gets the same fix suggestion for their old, already-fixed code.
Root Cause
Proposed Fix
Include a hash of the actual code content in the cache key. Use SHA-256 (no security requirement, just uniqueness):
Also reduce the TTL for "Fix" and "Explain" modes to 5 minutes (code changes frequently) while keeping the longer TTL for "Generate Tests" (test generation is less code-sensitive).
Files to Modify
server/routes/ai.js(or equivalent)buildCacheKey()to include code hashSuggested labels:
bug,backend,performance,level: beginnerI would like to work on this. Could you please assign it to me?