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Lessons · 6434 available · Agents view · MCP
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Lessons handpicked for the MCP shelf.
Claude Code isn't just a coding assistant — it's a general agent runtime with MCP, subagents, hooks, and skills. Treat it that way and you get a free, powerful platform.
Agents are only as useful as their tools. Tour the big three — filesystem, browser, code execution — plus the emerging MCP ecosystem, with examples of what each unlocks.
Ollama turns 'I want to run an LLM locally' into a one-line install and a two-word command. Here's the stack, the key commands, and the models worth pulling first.
Modern agents can use tools — like a browser, an email client, a calculator, a calendar.
Fresh MCP lessons added to the library.
Standard protocols like MCP let one agent talk to many tools without bespoke glue. Adopt them when your tool count grows past a handful.
Patterns for runtime tool registration vs. static registries — and why runtime is harder than it looks.
Individual Cursor adoption is easy; team deployment requires shared standards (rules files, MCP servers), security review, and cost management at scale.
MCP (Model Context Protocol) is a standard way for agents to safely talk to tools.
Subject tracks
Claude Code isn't just a coding assistant — it's a general agent runtime with MCP, subagents, hooks, and skills. Treat it that way and you get a free, powerful platform.
Agents that handle user data must design for privacy from start. Bolt-on privacy fails — and damages trust permanently.
Multi-region agent deployment serves global users. Latency, compliance, and resilience all matter.
Strip PII from prompts, tool outputs, and traces before they leave your boundary.
Decide how long to keep agent traces, which fields to redact, and how to satisfy deletion requests.
Decide what an agent forgets so context windows stay useful.
Log every agent action so you can debug, audit, and learn from runs after the fact.
The AI coding tool market fragmented fast. Let's map the 2026 landscape honestly: who is for autocomplete, who is for agents, who wins on cost, and what the tradeoffs actually feel like.
AI is a power tool. Some tasks are wrong for it. Learn the categories where AI assistance reliably makes things worse, and the human-only judgment calls AI cannot replace.
Cursor forked VS Code and rebuilt it around AI. It's now the de facto AI IDE for serious engineers. Deep dive on what makes it different, the Composer agent, and the $500/month enterprise pricing.
Windsurf (from Codeium, acquired by OpenAI in 2025) competes with Cursor via Cascade, its autonomous agent. Deep look at where it's ahead, where it's behind, and the post-acquisition future.
Clay scrapes, enriches, and personalizes at scale for sales and marketing. Deep look at what it does, the Claygent agent, and pricing that starts at $149/month.
Perplexity now lets you build small AI tools — surveys, structured queries, mini apps — on top of its retrieval. Build features are uneven, but powerful for the right job.
Once you trust the runtime, the next moves are scaling out (multiple machines), swapping the brain (different LLM provider), and giving back (clean upstream contributions). Each step compounds the value of the rest.
A Soul that never updates becomes stale. A Soul that updates everything becomes incoherent. The middle path is deliberate evolution — consolidation, drift detection, and version snapshots. When you change the brief, the memory schema, or a major procedural workflow, snapshot the prior Soul as a version: brief, system prompt, semantic store, procedural store, and eval baseline.
LLM observability tools (LangSmith, LangFuse, Helicone, Datadog LLM, custom) all trace conversations. The differentiation is in evaluation, dashboards, and alerting — and choosing the wrong tool wastes months.
Every team adds AI tools constantly. A repeatable evaluation framework prevents shelfware and shadow IT.
Employees use ChatGPT, Claude, etc. on their own. Some companies forbid; some embrace; most are confused. A clear policy protects everyone.