michaellivs.com valid
/dev/michael
Personal blog by Michael Livshits, software engineer specializing in LLMs and AI systems. Previously Staff Engineer in ML/AI at Intuit. Writes about building AI agents, infrastructure patterns, and open source tools.
Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-23T19:14:42.208Z. Cached copy · Source on michaellivs.com
# /dev/michael
> Personal blog by Michael Livshits, software engineer specializing in LLMs and AI systems. Previously Staff Engineer in ML/AI at Intuit. Writes about building AI agents, infrastructure patterns, and open source tools.
## Agent Design
- [Anatomy of agentic systems](https://michaellivs.com/blog/anatomy-of-agentic-systems): The basic ingredients - loops, tools, memory, and the levers for controlling behavior without breaking autonomy.
- [Tool Design is All About the Flow](https://michaellivs.com/blog/tool-design-is-all-about-the-flow): Tools aren't utilities, they're waypoints. The Search → View → Use pattern for progressive disclosure.
- [The Agent Harness](https://michaellivs.com/blog/agent-harness): A specification for what LLM frameworks leave undefined - error handling, context management, tool execution, state transitions.
- [Context Engineering Has No Engine](https://michaellivs.com/blog/context-engineering-open-call): What context engineering actually means - injection points, queryable conversations, reactive rules.
- [Skills aren't the innovation](https://michaellivs.com/blog/skills-arent-the-innovation): Progressive disclosure is the real idea behind Anthropic's skills, not the file format.
## Infrastructure
- [Why Anthropic and Vercel chose different sandboxes](https://michaellivs.com/blog/sandboxing-ai-agents-2026): gVisor vs Firecracker vs bubblewrap vs just-bash. How to pick based on constraints.
- [Why I Chose FTS Over Vector Search for Claude Code Memory](https://michaellivs.com/blog/fts-over-vectors-claude-code-memory): BM25 beats embeddings when there's already an LLM interpreting queries.
- [Open Responses Solves the Wrong Problem](https://michaellivs.com/blog/open-responses-missing-spec): The LLM interoperability spec tackles response normalization. The real pain is stream error handling.
- [llms.txt Doesn't Do What You Think](https://michaellivs.com/blog/llms-txt-doesnt-work): Research on llms.txt adoption - no major AI platform has confirmed they use it.
## Open Source Tools
- [psst](https://michaellivs.com/blog/psst-secrets-for-agents): Secrets manager where AI agents use secrets without seeing them. The secret never touches the context.
- [deja / ran](https://michaellivs.com/blog/claude-forgot-ran-didnt): Search bash commands from previous Claude Code sessions. Memory that grows from real work.
- [mental](https://michaellivs.com/blog/understanding-code-you-didnt-write): Externalize the mental model of your codebase. Domains, capabilities, aspects, decisions.
- [Claude Quest](https://michaellivs.com/blog/claude-quest): RPG-style visualization for Claude Code sessions. File reads cast spells, bash commands swing swords.
## API
- [/grep](https://michaellivs.com/grep?q=<pattern>): Search all blog posts. Returns plain text with line numbers. Supports regex. Try `curl "https://michaellivs.com/grep?q=agent"`.
## Optional
- [About](https://michaellivs.com/about): Background and links.
- [hi chat, dev here]
…
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| Domain | Title | Category | Country | Authority | llms.txt | llms-full.txt | Save |
|---|---|---|---|---|---|---|---|
| sourcey.com | Sourcey | interface AI and machine learning AI agents and MCP | — | 70 | ✓ | ✓ | |
| gofrantic.com | Frantic | interface AI and machine learning AI agents and MCP | — | 61 | ✓ | ||
| intellweb.ai | Intellweb | documentation Ecommerce Productivity +3 | US | 61 | ✓ | ✓ | |
| agentwebmap.com | Agent Web Map | interface AI and machine learning AI agents and MCP +1 | FR | 60 | ✓ | ✓ | |
| cloudflare.com | Cloudflare | interface Infrastructure AI and machine learning +1 | — | 85 | ✓ | ✓ | |
| adobe.com | Adobe Tools | transactional AI and machine learning Design +1 | FR | 75 | ✓ | ||
| intel.com | Intel Corporation | documentation Industry and manufacturing Consumer electronics +1 | US | 74 | ✓ | ✓ | |
| opera.com | The Opera browser overview | documentation Infrastructure AI and machine learning +2 | NL | 74 | ✓ |
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