808 related articles

Rocky is a minimal, transparent open-source coding agent with a core loop under a few hundred lines of Python, native DeepSeek search, Research mode, and built-in SWE benchmarking for reproducible agent experiments.

Decoding DeepSeek's Liang Wenfeng 4-hour investor Q&A: 10-month-payback restrained pricing, why open source doesn't hurt revenue, the Agent-continual learning-self-iteration AGI roadmap, plus domestic chips, talent, and your moat.

DeepSeek open-sources DeepSpec, a full-stack speculative decoding library delivering 60–85% inference speedup and up to 661% throughput gains in production. MIT license, 9 checkpoints, 9 benchmarks.

Qwen 3.8 open source incoming, DeepSeek Resonics native coding agent debuts, Kimi pauses new subscriptions amid compute pressure, and Qiyimole shows domestic GPU interconnect solution at WAIC.

DeepSeek open-sources DeepSpec, a full speculative decoding training and evaluation toolkit featuring three draft model algorithms (Ego3, DeepFlash, DeepSpark), 12 checkpoints, MIT license, and 60–85% real-world speedup.

Waveloom is an open-source terminal coding Agent deeply optimized for DeepSeek, with cache hit rates near 99% to drastically cut token costs. Supports Linux, Windows, macOS, and Claude Code Skills.

A hands-on comparison of AI models—Fable 5, DeepSeek V4 Flash, GLM 5.2, Qwen 3.6—building a sales CRM. The priciest cost $27.69, the cheapest just 30 cents. A deep dive into open-source LLM coding value.

DeepSeek's speculative decoding algorithm (DSpark) is now merged into vLLM main branch, natively supporting Qwen3 and Gemma. Tests show ~150× single-user token speed gains and ~40–50% throughput improvement.

Kun is an open-source AI coding agent optimized for DeepSeek and domestic users, with nearly 5,000 GitHub stars. Features include requirements drafting, inline diffs, cost visualization, and mobile monitoring. Real-world cache hit rates reached 97%, keeping costs extremely low.

DeepSeek and Peking University's DS Spark paper boosts AI inference speed by up to 85% via confidence scheduling and semi-autoregressive speculative decoding — no model or GPU changes.

Hands-on report on DeepSeek's open-source inference acceleration toolkit DSpec: draft model + smart scheduling delivers lossless speedup, hitting acceptance length 6 on GSM8K and reproducing official data.

Real-world test: DeepSeek API + Resonix coding tool consumed 150M tokens for just $1.10. Deep dive into DeepSeek pricing, Resonix's 95% cache hit rate, and honest comparison with GPT models.

DeepSeek forms a dedicated Harness team to rival Claude Code. Analysis of the four-layer architecture, three core advantages, and 40x cost edge driving AI competition from model wars to engineering deployment.

DeepSeek's open-source terminal coding Agent: zero dependencies, million-token context, 20 parallel sub-agents, 38K+ GitHub Stars. A detailed comparison with Claude Code.

Step-by-step guide to configuring DeepSeek API with VS Code plugin Cline, including API Key setup, Plan/Act dual-model strategy, and project management files for a $1.50 AI coding alternative.

DeepSeek-Reasonix is an open-source AI coding agent optimized for DeepSeek models. With 12K stars in 3 days, it offers 5 reasoning levels, 4 execution modes, MCP integration, and smart caching that cuts long-session costs by 80%.

Learn how to connect DeepSeek to Codex using the open-source tool Codex++. Covers provider setup, connection testing, and launch verification for low-cost AI coding.

Hands-on comparison of Claude Opus 4.8, GPT 5.5, MiniMax M3, DeepSeek V4 Pro, and Mimo 2.5 Pro across SVG drawing, 3D game generation, elevator scheduling, and real bug fixing.

In-depth comparison of Claude Sonnet 4.6, GPT-5.1 Codex, and DeepSeek-R1 across API pricing, specs, and SWE-Bench Verified scores to help developers pick the best AI coding assistant.

Hands-on review of DeepSeek GUI's full agent workbench: KUN local runtime, cache-first architecture, task scheduler, and Token cost advantages for developers.