📚 ShroomDog Picks

Claude Code now supports Agent Teams: a lead session coordinates multiple teammate sessions with shared task lists, direct messaging, and parallel work. It's like running a company staffed entirely by AI — you just sit back and watch the quarterly report.

Anthropic shipped major upgrades to skill-creator: no-code evals for testing skills, benchmark mode for tracking quality over time, multi-agent parallel testing, and trigger description optimization.

Developer Kangwook Lee used just 2 API calls and 35 lines of Python to crack open Codex's hidden context compaction API via prompt injection — revealing the secret system prompts behind the encryption.

The core message is simple: most people don't fail because the model is weak — they fail because their context management is a mess. The author advocates starting with a minimal CLI workflow and iterating with rules, skills, and clear task endpoints. It's not about chasing new tools; it's about making your agent's behavior controllable, verifiable, and convergent.

Hamel Husain released evals-skills, a skill set designed for AI product evaluation. It tackles the blind spots agents face during complex tasks — especially distinguishing between different types of hallucinations — so agents can actually use eval platforms effectively.

Tired of tweaking prompts and swapping models, only to find your AI agents still can't 'evolve'? This post reveals a deceptively simple secret: a Markdown-based context system that turned one person's agents from clumsy interns into autonomous powerhouses in just 40 days — using the exact same model throughout.

The biggest blind spot in AI agent development is 'tweaking in the dark.' Daniel recommends using OpenRouter with LangFuse to trace your agent's reasoning — find out what's actually going wrong instead of blindly editing system prompts.

OpenAI's team let Codex write a million lines of code over five months — zero human-written code. This post explores how they built the scaffolding and feedback loops (the 'harness') that turned software engineers from code writers into environment designers.

A hot HackerNews project called Context Mode uses sandbox isolation and smart retrieval to block bloated tool outputs from flooding LLM context windows — claiming up to 98% token savings!

Anthropic rolled out Claude Code's Agent Teams feature (aka Swarm Mode) silently with Opus 4.6. This article tests how to enable it, terminal support, the differences from standard Subagents, and the real running costs of this multi-agent system.

Think Claude Cowork is just a fancy chatbot? This post distills 400+ sessions into 17 setup secrets. Stop 'prompting' and start 'engineering' — build your own AI power-teammate.

Everyone's chasing the strongest Model, but the real difference-maker for Agents is the Harness. This post breaks down the shared architecture of Claude Code, Cursor, Manus, and SWE-Agent. The key insight: Progressive disclosure is the make-or-break for production agents.

Well-known indie hacker levelsio shares how he completely let go and let Claude Code modify code directly in production, pushing his development speed to the absolute limit, even surpassing the speed at which he comes up with ideas.

A two-person boutique law firm uses Claude to handle the workload of over a dozen associates. From contract review and tracked changes to legal research, they encoded ten years of practice experience into Claude Skills. This isn't theory, it's a daily workflow — and the conclusion: general-purpose AI crushes all legal vertical AI products.

Anthropic killed third-party OAuth tokens — the only way to use your Claude subscription programmatically is through the official CLI. This post breaks down everything about claude -p (print mode): 5 input methods, 3 output formats, JSON schema for structured output, tool whitelisting, session management, bidirectional streaming, and three production-ready wrapper examples.

Chapter 5 of Simon Willison's Agentic Engineering Patterns: Interactive Explanations. Core thesis: instead of staring at AI-generated code trying to understand it, ask your agent to build an interactive animation that shows you how the algorithm works. Pay down cognitive debt visually.

OpenClaw's ACP lets you spawn Codex, Claude Code, and Gemini from Discord/Telegram chat. Now with Telegram topic binding, persistent bindings that survive restarts, ACP Provenance for audit trails, and more. (Updated 2026-03-09)

Chapter 4 of Simon Willison's Agentic Engineering Patterns: Hoard Things You Know How to Do. Core thesis: every problem you've solved should leave behind working code, because coding agents can recombine your old solutions into things you never imagined.

Chapter 3 of Simon Willison's Agentic Engineering Patterns: the Linear Walkthrough pattern. This technique transforms even vibe-coded toy projects into valuable learning resources. Core trick: make the agent use sed/grep/cat to fetch code snippets, preventing hallucination.

Simon Willison tried Claude Code Remote Control and Cowork Scheduled Tasks — two Anthropic features that overlap with OpenClaw, both requiring your computer to stay on. Plus: vibe-coding a SwiftUI presentation app in 45 minutes with Tailscale phone remote control.