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Thinking about AI memory, knowledge management, and engineering workflows.

Vitaliy Filipov
Vitaliy Filipov
· 13 min read

The 3 layers of AI memory (and why most tools still stop at layer 2)

Talk to any engineer using AI tools daily and the same complaint still comes up: "I keep re-explaining the same context." (yes, they did the claude.md and whatnot but still the pesky memory problem continues to evade) In 2023 that was mostly because tools had no real memory. In 2026 that excuse is gone. ChatGPT ships Memory and maybe I'm one of the few who gives his data, Claude has Projects...

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Vitaliy Filipov
Vitaliy Filipov
· 6 min read

AI tools don't have a hallucination problem. They have an amnesia problem.

Hallucination gets all the attention. Fair enough. A confidently wrong answer can ruin your afternoon. But I think we're focused on the wrong problem. Your AI tools forget everything, every single session. Last week I spent 20 minutes getting Claude to understand our authentication flow. Got a solid refactor out of it. Opened a new session the next morning, and it had no idea what OAuth2...

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Vitaliy Filipov
Vitaliy Filipov
· 6 min read

5 MCP servers every engineering team should run in 2026

If you're not running any MCP servers yet, you're still copy-pasting context into every AI session like it's 2024. MCP (Model Context Protocol) is dead simple: servers expose your data and tools through a unified interface, and hosts (Claude, Cursor, your agents) consume them. One protocol, any source. There are thousands of MCP servers out there now. Most of them don't matter. These five do,...

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