0-to-1 AI Engineer Playbook (2026)
Ace AI Engineer interviews: RAG, agents, fine-tuning
What it does
Complete AI Engineer interview prep for GenAI roles at FAANG and AI labs. RAG Architecture & Vector Databases | Agent Frameworks | Fine-Tuning & RLHF | ML System Design | Prompt Engineering | Evaluation & Safety | Behavioral Rounds 100+ worked problems with full reasoning. Built by a Silicon Valley Product Leader who has conducted 200+ interviews at Amazon and Microsoft. $9.99 on Gumroad (instant download). FREE on Kindle May 21-25.
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Apex Interviewer 2026Jun 2026 · apexinterviewer.com · ▲3Next-gen AI mock interviews for senior tech roles.
- WBWe built a multimodal AI interviewer for mock system design interviews2024 · app.techinterviewer.ai · ▲11
Hey HN! We’re Jared, Shreyas, and Varun the creators of TechInterviewer. We’re building a product for software engineers to go through an entirely simulated systems design interview. Our AI interviewer, Steve, gives you a prompt and you talk out loud and draw on a whiteboard while Steve guides you through the interview and gives real-time feedback. Check out our demo: https://app.techinterviewer.ai Every software engineer today has to prepare for systems design interviews and have two awful options: pay hundreds of dollars for a single session with a FAANG engineer or follow…
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I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
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Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 27d ago · cactuscompute.com
Launched alongside, May 2026
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Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai
- NW
Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
Life & fun · May 2026 · github.com
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Dev tools · May 2026 · github.com