Lead Feature
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.
•Feb 23, 2026•9 min read
Archive
News and deep technical tutorials
tutorialFeb 20, 2026
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.
Read Article
deep-diveFeb 19, 2026
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.
Read Article
deep-diveFeb 17, 2026
Observational Memory for Long-Running Agents “This wasn’t the plan!”
Always-on agents have unbounded context growth problem.
Read Article
deep-diveFeb 14, 2026
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.
Read Article
newsFeb 13, 2026
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:
Read Article
newsFeb 11, 2026
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-...
Read Article
deep-diveFeb 10, 2026
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.
Read Article
deep-diveFeb 9, 2026
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.
Read Article
deep-diveFeb 7, 2026
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.
Read Article
newsFeb 6, 2026
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:
Read Article
tutorialFeb 5, 2026
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.
Read Article
newsFeb 5, 2026
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.
Read Article
tutorialFeb 4, 2026
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.
Read Article
newsFeb 3, 2026
Qwen3-Coder-Next Failed in the Scariest Way: 10 Practical Tests
Benchmarks are the LinkedIn of LLMs. Every model looks unstoppable.
Read Article
tutorialJan 22, 2026
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.
Read Article
newsJan 21, 2026
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.
Read Article
tutorialJan 19, 2026
Local LLMs That Can Replace Claude Code
Small team of engineers can easily burn >$2K/mo on Anthropic’s Claude Code (Sonnet/Opus 4.5). As budgets are tight, you might be wondering if you could leverage local LLMs witho...
Read Article