Cline
27 Intel
Cline is an open-source AI coding agent that can run as an IDE extension, a CLI or an SDK, made by Cline Bot Inc. According to the AI Engineer conference's organization page, Cline was founded in 2024 by its current CEO, Saoud Rizwan, and began as a VS Code extension. In July 2025 Cline announced $32 million in combined seed and Series A funding led by Emergence Capital and Pace Capital.
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Intel
Cline proposes cline-bench, reproducible agentic-coding environments drawn from real open source tasks where models stumble, with repo snapshots, authentic problem statements and automated verification, plus a funding commitment for maintainers.
Cline 3.48.0 adds Skills compatibility and web search. Skills are directories with a SKILL.md that Cline loads progressively, exposing only name and description until a task matches, unlike always-on rules.
Compares Kimi K3, DeepSeek V4 Pro and Flash, GLM 5.2, and MiniMax M3 for coding on reported Terminal Bench 2.1 scores, API pricing, and total versus active parameters, with guidance on where each fits.
Cline 3.39 adds Explain Changes, which gives plain-language explanations alongside AI-generated diffs. The post argues comprehension, not authoring, is now the limiting step and that context switching drives superficial reviews.
Argues infrastructure runbooks should become executable playbooks: hardened prompts stored as .clinerules files, version-controlled with the code, composable, and runnable by engineers who did not write them.
Cline announces Kanban, a CLI-agnostic app that shows coding agents as live task cards so you can see which are running, blocked, or done, and chain tasks across parallel agents. Evidence reviewed is the announcement text only.
Cline open-sources its agent SDK and rebuilds its products on it. The runtime keeps the agent loop stateless while sessions persist and move across VS Code, JetBrains, and CLI, with revised prompts and context handling and published Terminal-Bench numbers.
Cline adds DeepSeek V3.2 and V3.2-Speciale. The post covers thinking during tool use with traces retained across calls, DeepSeek Sparse Attention, the agent training mix, and per-million-token pricing.
Cline CLI 2.0 rebuilds the agent for the terminal with Plan and Act modes, slash commands, mid-session model switching, headless and piped use, and parallel sessions, positioning coding agents as scriptable infrastructure.
Cline ran eight models on IMO 2026 problems with anonymized grading by two model graders and a tie-breaker. DeepSeek V4 Flash scored 30/42 against a 29 gold cutoff for $0.12, while GPT-5.6 Sol scored 42/42. Traces published; harness fixes noted.
Setup guide for supervising Cline agents remotely: run Kanban with its host set to 0.0.0.0, join phone and Mac to one Tailscale tailnet, and open the board in a mobile browser to review diffs, approve changes and start tasks.
Cline details moving its 11-million-user VS Code extension from a monolithic private core to its shared SDK harness: a rollback after the first attempt, a homemade A/B rollout, and a reported tenfold drop in agent failures.
Cline's walkthrough of plugins and lifecycle hooks in its SDK-based harness. Shows how callbacks at fixed points in the agent loop add logging and block unwanted actions, and why that differs from MCP tools the model chooses to call.
Cline adds an OpenAI Codex provider using OAuth sign-in. Tokens refresh automatically, no API keys are needed, and gpt-5.2-codex and other models are available per subscription tier at flat-rate pricing.
Cline races three agents running gpt-oss 120B on a DGX Spark, an RTX 4090 with heavy offload, and a cloud backend, using a kill-your-opponents script to show how memory, network path and inference stack affect agent speed.
Cline's postmortem of an unauthorized cline@2.3.0 npm publish on February 17, 2026. A compromised token added a postinstall that installed openclaw; the binary was unchanged. Covers the 8-hour window, cleanup, and new OIDC provenance.
A dense guide to self-hosting open-weight LLMs using Kimi K2.6: memory for weights and KV cache, serving and batching math, and production pricing from Cline's traffic. Aims to show where self-hosting starts saving serious money.
Argues commit history is now agent context: Cline reads recent commits to continue refactors, so descriptive messages carry intent and scope that diffs alone cannot. Contrasts 'fix' and 'final fix' with pattern-revealing messages.
Cline rebuilt its terminal client on the same core as its IDE extensions, adding a redesigned TUI, parallel agent instances, headless operation, and ACP support for Zed, Neovim, and Emacs, plus a limited free Kimi K2.5 trial.
Cline adds Jupyter notebook support that extracts structured cell context (type, source lines, metadata, execution count, outputs) before prompting the model, so edits respect notebook structure.
Cline Desktop is an early open-source app for open-weight models, with parallel sessions, scheduled tasks, a plugin and MCP marketplace, and import of tasks from other coding agents. Benchmark numbers are reused harness results, not a Desktop-specific test.
Cline's hill-climbing guide: run an agent on Terminal Bench's 89 tasks through Harbor, diagnose each failure, change one variable, and keep gains. A weekend of fixes moved its score from 47% to 57%.
Cline explains how it evaluates open-weight coding agents with Harbor and Terminal Bench, found its requests 20-30% heavier than efficient harnesses, and shares a hill-climbing checklist plus traces from over a thousand dollars of runs.
A Cline engineer lists five instructions that waste tokens with coding agents, starting with vague asks like 'make it better', and explains how specific, context-rich prompts replace compiler-style terseness.