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I&AI Code
Offline AI interview & coding coach
Offline AI coding interview & coding coach — DSA, LLD & mock interviews powered by llama.cpp + Qwen. No API keys, no cloud, no subscription. - rastogialankrit823-ai/I-AI-code
Hey PH 👋
I built I&AI Code because interview-prep & coding AI tools all want a subscription and send your code to someone's cloud.
This runs a Qwen 2.5 Coder model entirely on your machine via llama.cpp:
🧩 DSA mode — write code, run it, and the AI traces your logic to find the exact buggy line
🏗 LLD mode — an AI workspace that generates class structures, writes complete code files, and patches them in place
🎤 Interview mode — 40 mock problems with full test suites and a rubric-based AI judge, scored offline
No API key. No account. No telemetry. Works on a plane ✈️
The hardest engineering problem: small local models are terrible judges. Ask a 3B model to "score this answer 0–100" and you get noise. What fixed it:
Deterministic bug scanners run before the LLM — classic patterns (like backtracking without undo) are caught instantly by static analysis
The judge answers binary yes/no per rubric point instead of producing a score, and must quote your answer to claim a point — unverifiable claims get flipped to "no"
The final score is clamped to ±30 of a deterministically computed coverage baseline
It's a public beta — macOS is well-tested, Linux less so. I'm watching issues closely and shipping fixes within hours, so if something breaks on your machine, tell me and it'll likely be fixed same-day.
Happy to answer anything about making small local models reliable — including everything that totally didn't work. 🙃
About I&AI Code on Product Hunt
“Offline AI interview & coding coach”
I&AI Code was submitted on Product Hunt and earned 6 upvotes and 1 comments, placing #142 on the daily leaderboard. Offline AI coding interview & coding coach — DSA, LLD & mock interviews powered by llama.cpp + Qwen. No API keys, no cloud, no subscription. - rastogialankrit823-ai/I-AI-code
On the analytics side, I&AI Code competes within Productivity, Artificial Intelligence, GitHub and Tech — topics that collectively have 1.8M followers on Product Hunt. The dashboard above tracks how I&AI Code performed against the three products that launched closest to it on the same day.
Who hunted I&AI Code?
I&AI Code was hunted by Alankrit Rastogi. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of I&AI Code including community comment highlights and product details, visit the product overview.
Alankrit Rastogi