Those who say engineering with AI isn’t more productive either: a) are full of it b) don’t know good engineers This is what our AI forward deployed engineers are cranking through as we speak: 1. Ripping out an edgeAI demo with a real-time RTSP IP camera (set up in office) and ran quantized TensorRT-based models in parallel for ppl detection, pose estimation, and theft detection. 2. Creating a SOTA image outpainting solution beating off-the-shelf tools like Adobe Firefly in terms of reduced distortions. 3. Building a 70k line API with an agent in 2.5 weeks using a novel refactor approach. This is unprecedented speed for the industry, only accessible by using LLMs. 4. Building a full RBAC custom permissions system in a week for a 9-figure construction company, impossible without claude code. 5. Implementing a bk tree algo for household media co to fuzzy match a set of 50k answers efficiently. A technical problem that would take a team a month 2 years ago. 6. Standing up a travel booking mvp for a 9-figure lifestyle client with an ai agent in 3 weeks. 7. Building a full-stack data-enrichment pipeline in a week for a client in financial services — from scratch with custom data sources. What should you take from this? - The world’s best engineers are truly 10x better than the rest. Put AI in their hands and they become forces of nature. - If you haven’t felt this within your org, you might want to start asking questions. - Check out the link below if you want to work with @tenex_labs’ AI forward deployed engineers doing this incredible work.