Technical Architecture
Explore the technical side of LeemerChat: model orchestration, AI reliability, system architecture, and practical engineering approaches for building production AI experiences.
Our engineering posts focus on what actually matters in production: stable architecture, observability, responsible model routing, security, and scaling systems without sacrificing UX.
We share implementation details from multi-model orchestration, code automation integrations, and reliability patterns learned while shipping LeemerChat features in the real world.
Mission Control is our next-generation agentic research and execution platform. It represents a fundamental shift in how we interact with AI—moving away from rigid pipelines and chat interfaces, and stepping into the era of autonomous, goal-oriented swarms.
Tinker is now generally available. Vision input, Kimi K2 Thinking, and LoRA Without Regret are reshaping what custom model training looks like in 2026. Here's why fine-tuning is more strategically important than ever — and how LeemerLabs Model Foundry is building the infrastructure to prove it.
We've integrated Cursor's Cloud Agents API into LeemerChat so you can launch, monitor, stop, and follow-up with autonomous coding agents on your GitHub repos — all from the chat. Just enter your API key in settings and start dispatching agents with natural language.
We've integrated Blackbox Cloud into LeemerChat so you can dispatch autonomous coding agents to your GitHub repos — single-agent or multi-launch — without leaving the conversation. Create, monitor, and cancel tasks with natural language.
What if AI answers came from a council of experts instead of a single voice? KingLeemer orchestrates multiple frontier models to think together, disagree, debate, and converge on answers more reliable than any single model could produce alone.
Discover how IKEA-inspired design, frosted glass interfaces, and revolutionary durable generation create an AI workspace that feels effortless yet powerful. This is what happens when design meets reliability.
A behind-the-scenes look at how we built LeemerGLM on top of Gemma 3 4B, why we paired it with a multimodal specialist, and how it slots into our expert panel.
Vibe coding feels fast, but it hides a $50B cleanup bill. This editorial exposes why 80% of startups crash because of sloppy code and how frontier AI turns vibes into infrastructure.
We're launching Ireland's first custom LLM creation studio. Fine-tune frontier models up to 235B parameters using Tinker distributed training, powered by Thinking Machines Lab. Build domain-specific intelligence layers that you own and deploy anywhere.
How LeemerChat used BotID Deep Analysis to shut down coordinated synthetic agents without slowing down real users.
A deep dive into the union model architecture powering Leemer Heavy's iterative research orchestration and Heavy (Fast)'s rapid debate synthesis system.