Cut Claude Token Usage by 5x with OpenWolf
OpenWolf adds a project index, persistent memory, and hook-based file controls so Claude Code stops re-reading the same files and wasting tokens.
DEEP DIVE6 MIN READ
[ ARTICLE ARCHIVE ]
Back to Front PageA flat index of every published article
No cards, no image grid, just a clean running list of reporting, tutorials, and technical deep dives.
Fine-Tune Gemma 4 Models on Your MacBook
A practical walkthrough for running Gemma 4 multimodal LoRA fine-tuning on Apple Silicon without renting datacenter GPUs.
TUTORIAL4 MIN READ
Playwright Is Not Good Enough for Agents
Agent browser runtimes need deterministic state, semantic actions, and warm sessions, not just human testing abstractions with an LLM taped on top.
DEEP DIVE9 MIN READ
Distributed Agentic Patterns Behind Every Winning Startup
The most useful mental model for serious agentic systems is event-driven distributed architecture with clear async boundaries, retries, and routing semantics.
DEEP DIVE10 MIN READ
KubeClaw: OpenClaw for Adults
KubeClaw frames OpenClaw the right way: not as a prompt loop, but as an operational system with secure defaults, observability, and predictable upgrades.
DEEP DIVE8 MIN READ
TurboQuant: Local Agent Swarms With 4M-Token Context
TurboQuant changes the economics of local agents by collapsing KV-cache costs enough to make multi-agent systems practical on a single workstation.
DEEP DIVE7 MIN READ
Your Business Is About to Deploy Its First AI Agent System
A practical guide for business owners deploying their first multi-agent AI system, covering where to start, what to skip, the math that kills most deployments, and a phased roadmap from pilot to production.
DEEP DIVE6 MIN READ
Qwen 3.5 35B-A3B: 3B Active Parameters, 100+ tok/s, and Why Your $800 GPU Just Became a Frontier-Class AI Workstation
Qwen 3.5's MoE architecture activates only 3B of 35B parameters per token -- running at 100+ tok/s on a single consumer GPU while outperforming its 235B predecessor.
DEEP DIVE17 MIN READ
zvec: Alibaba Quietly Shipped the SQLite of Vector Databases, and It Changes the RAG Deployment Game
An in-process vector database built on Alibaba's Proxima engine that doubles the previous VectorDBBench leader at 8,000+ QPS.
DEEP DIVE12 MIN READ
GET SHIT DONE: Meta-prompting and Spec-driven Development for Claude Code and Codex
GSD (“Get Shit Done”) aims to solve context rot, the quality degradation as the model’s context window fills.
MODEL ANALYSIS9 MIN READ
OpenClaw Memory Systems That Don't Forget: QMD, Mem0, Cognee, Obsidian
A practical guide to fixing OpenClaw memory failures and choosing the right memory substrate as your agent system scales.
DEEP DIVE4 MIN READ
OpenClaw Variants on $10 Hardware and 10MB RAM
Most product bugs show up when a simple feature lands on a box with a 64MB RAM budget and a watchdog timer.
DEEP DIVE8 MIN READ
Observational Memory for Long-Running Agents “This wasn’t the plan!”
Always-on agents have unbounded context growth problem.
DEEP DIVE9 MIN READ
Fully Autonomous Companies: OpenClaw Gateway + Routing + Agents
Whether you think it’s hype or not, people are already trying to run fully autonomous companies on OpenClaw.
DEEP DIVE7 MIN READ
MiniMax M2.5: Opus 4.6 but 95% Cheaper?
Before any Claude fans boo me: I’m not claiming “M2.5 is Opus” but the pricing + throughput + agent-oriented training forces a new engineering question:
MODEL ANALYSIS8 MIN READ
GLM-5 joins Opus and Codex: Long-horizon Agentic Tasks
One of the most interesting parts of the GLM-5 launch is that you can run an open-weights model inside a proprietary agentic coding workflow and get something close to frontier-...
MODEL ANALYSIS8 MIN READ
Deep Research with 96,000+ Trajectories — Completely Offline
Imagine synthesizing human-like research trajectories exceeding 100 turns entirely offline, no reliance on search or scrape APIs, no rate limits, and crucially, no nondeterminism.
DEEP DIVE7 MIN READ
Original Sin of Agents: Morris II, EchoLeak and Prompt Pond
We risk resurrecting the original sin of computing, a flaw that has enabled remote code execution exploits for decades.
DEEP DIVE11 MIN READ
Developer’s Deep Dive Into Fine-Tuning Modern LLMs
How well fine-tuning performs still depends on three factors: model size, hardware capability, and the framework you choose.
DEEP DIVE19 MIN READ
LangGraph vs Cloudflare Agents: Queues, Scheduling, and Durable Execution
If you’ve built an LLM agent that does anything non-trivial, you’ve hit this moment:
MODEL ANALYSIS12 MIN READ
ClawRouter: Anthropic charged me $4,660 — How I cut it 70% with smart LLM routing
Last month I opened my credit‑card statement and almost threw up. Anthropic charged me $4,660.87, just for Claude.
TUTORIAL10 MIN READ
Codex 5.3 vs. Opus 4.6: One-shot Examples and Comparison
Just after 9:45 a.m. Pacific on 5 February 2026, Anthropic unveiled Claude Opus 4.6, and 20 minutes later, OpenAI counter‑punched with GPT‑5.3‑Codex.
MODEL ANALYSIS8 MIN READ
VIBESTACK: How Everyone Launches Products So Fast in 2026
If you want to research, build, and launch your products fast, this is the solo founder stack for AI-native apps, zero-to-launch weekends, and practically infinite leverage.
TUTORIAL31 MIN READ
Qwen3-Coder-Next Failed in the Scariest Way: 10 Practical Tests
Benchmarks are the LinkedIn of LLMs. Every model looks unstoppable.
MODEL ANALYSIS15 MIN READ
Founder’s Open-Model Stack: GLM-4.7, Qwen3-VL, DeepSeek-V3.2, Kimi-K2, FLUX.2
If you’re building an AI product as a solo founder or a small team, you don’t need one “best” model.
TUTORIAL7 MIN READ
GLM-4.7-Flash on 24GB GPU (llama.ccp, vLLM, SGLang, Transformers)
GLM-4.7-Flash is one of those rare open-weights releases that changes what “local-first” can realistically mean for coding + agentic workflows.
MODEL ANALYSIS7 MIN READ