📚 ShroomDog Picks

Long-form articles, translated and explained

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Pi: The Minimal Coding Agent With Just Four Tools That Powers OpenClaw

Flask creator Armin Ronacher (mitsuhiko) explains why he exclusively uses Pi — Mario Zechner's minimal coding agent with just four tools (Read, Write, Edit, Bash) — and how its extension system lets agents extend themselves. Pi powers OpenClaw under the hood and embodies the philosophy of 'software building software.' No MCP, no downloaded plugins — just tell the agent to build what it needs.

Anthropic Launches Claude for Nonprofits: Up to 75% Off for Mission-Driven Orgs (Plus a Taiwan Disaster Relief Use Case)

Anthropic launches Claude for Nonprofits with up to 75% discounts on Team and Enterprise plans, access to Opus 4.6, Sonnet 4.5, and Haiku 4.5, plus new integrations with Benevity, Blackbaud, and Candid. The program also includes a free AI Fluency course co-developed with GivingTuesday. Real-world users include the Epilepsy Foundation (24/7 support for 3.4M patients), MyFriendBen ($1.2B in unclaimed benefits found), and IDinsight (16× faster workflows). We also explore how Taiwan's GuangFuHero disaster relief volunteer platform could leverage this program.

OneContext: Teaching Coding Agents to Actually Remember Things (ACL 2025)

Junde Wu from Oxford + NUS got fed up with coding agents forgetting everything between sessions. So he built OneContext — a Git-inspired context management system using file system + Git + knowledge graphs. Works across sessions, devices, and different agents (Claude Code / Codex). The underlying GCC paper achieves 48% on SWE-Bench-Lite, beating 26 systems. Backed by an ACL 2025 main conference long paper.

When Intelligence Is Free, What's Actually Valuable? 12 Endgame Positions

Michael Bloch's thought experiment: when AI intelligence becomes nearly free, what assets become MORE valuable? His 12 endgame positions: Energy, Atoms, Capital, Regulatory permission, Trust, Proprietary data, Human attention, Network effects, Operational advantage, Security, Physical space, and Intelligence itself

Inside OpenAI: How They're Going Agent-First (Straight From the Co-Founder)

OpenAI co-founder Greg Brockman publicly reveals how OpenAI is transforming to agentic software development internally. By March 31st, agents should become the first resort for all technical tasks. Includes six concrete recommendations, including 'Say no to slop' on code quality.

Claude Code Finally Learned to Delegate: Agent Teams Mode Is Here

Anthropic released Opus 4.6 with Claude Code Agent Teams: a lead agent can delegate to multiple teammates working in parallel — researching, debugging, and building simultaneously. Boris Cherny says: it's powerful, but it burns tokens like crazy.

Inside LLM Inference: KV Cache & the Memory Nightmare (Series 2/3)

Part 1 taught you how to save money. Part 2 explains why those tricks work. From the two stages of LLM inference (prefill/decode) to KV cache fundamentals to the GPU memory crisis that makes naive caching fall apart at scale. (Part 2 of 3)

Designers Are Using Claude Code Now — What This Means for Engineers

ADPList founder Felix Lee wrote a Claude Code guide for designers, promoting 'Vibe Coding'. As a Claude Code power user, I analyze what this means for engineers and tech leads: designers' description skills are actually an advantage, but there's still a gap between vibe code and production code.

MIT Research: Making LLMs Recursively Call Themselves to Handle 10M+ Tokens

When you stuff too much into a context window, models get dumber — that's context rot. MIT proposes Recursive Language Models (RLMs), letting LLMs recursively call themselves in a Python REPL to handle massive inputs. GPT-5-mini + RLM beats vanilla GPT-5 on hard tasks, and it's cheaper too.