11,840 TPS on a single GPU
Learn how we optimized NVIDIA Nemotron 3.5 Super VL inference with five vLLM configuration changes, nearly doubling throughput from 6,058 to 11,840 tokens/sec on a single GB300 GPU.
Building Faster AI Agents with Jev Decision Models and Cline
Learn how Jev Decision Models and Cline help build faster, cheaper AI agents with real-time decision-making, browser automation, and automated guardrails.
Cline Agents Harness Unlocks Benchmark-Leading Performance from NVIDIA Nemotron 3.5 Super VL
Explore how NVIDIA’s latest Nemotron 3.5 Super model performs with Cline’s agent harness, delivering benchmark-leading results and powering real-world AI coding workflows.
Cline Desktop: An open-source app for open-weight models
Meet Cline Desktop, an open-source app for open-weight models. Run parallel AI agents, automate recurring tasks, choose from 300+ models, and extend your workflow with plugins, MCP servers, and skills.
How We Migrated 11 Million Users to Cline's Biggest Harness Upgrade
How Cline migrated its VS Code extension for 11 million developers to the new Cline SDK, built a safe A/B rollout, and reduced agent failures by 10x.
DeepSeek wins IMO Gold on 12 cents
Benchmarking eight AI models on IMO 2026 problems in Cline, we found DeepSeek V4 Flash scored 30/42, clearing the gold medal cutoff for just $0.12. See how open-weight models compare with GPT-5.6 Sol, Claude Fable 5, Kimi K3, and more.
Building a code review agent on the Cline loop
Build a code review agent with the Cline SDK using custom tools, guardrails, hooks, and a two-pass review workflow. Learn how to inspect PR diffs, filter false positives, audit tool usage, and post high-signal review comments to GitHub.
Open-sourcing evals for open-weight agents
Learn how Cline evaluates and improves open weight coding agents using Terminal Bench, with practical heuristics for model performance, token efficiency, reasoning, providers, and eval optimization.
NVIDIA Nemotron 3.5 Lightning just landed in Cline
NVIDIA Nemotron 3.5 Lightning is now available in Cline, bringing a 30B MoE model with 3B active parameters, up to 1M context, and high throughput for agentic coding workflows.
Top 5 Open Weight Models That Matter to Developers in 2026
Explore the best open weight models for coding in 2026. Compare Kimi K3, GLM 5.2, DeepSeek V4 Pro and Flash, and MiniMax M3 across benchmarks, pricing, model size, and developer use cases.
Recursive Self Improvement for Coding Agents
See how recursive self-improvement helped Cline optimize Kimi K3 and achieve an 88.8% SOTA score on Terminal-Bench 2.1 at a fraction of the cost.
How to Save Millions by Self-Hosting LLMs
A practical guide to the economics of self-hosting open-weight LLMs. Using Kimi K2.6 and real production traffic from Cline, this post breaks down GPU memory, inference, batching, pricing, and the point at which self-hosting can save millions.