Patryk Szczygło @patys_prog
I'm blogger, young programmer, multilingual man, interested in technology and travels. Lover of creating games and learning languages. patys.dev Poland Joined February 2015-
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Working on better chat context. Swapping “last 5 messages” with a short summary from a small model. Problem: Omega’s past messages sometimes cause weird output. Current fix: limit to 20–30 msgs + tell model it’s part of Omega.
Today’s bug: - null where true/false should be, - “unhandled message” + “cannot translate typing union” errors, Cause? API drift + old libs. Fix? Upgrade, validate, and stop trusting yesterday’s behavior.
Something changed, our intention classifier started returning null instead of true/false. Lesson: if your logic assumes exact token boundaries — it’s already brittle. Treat prompts + tokenization like code: contracts, tests, versioning.
Thinking ahead: What if agents acted as internal project databases for dev teams? Memory + reasoning, scoped per project. Could reduce context loss — or just add noise. Anyone tried this?
New setup: - SalesAgent only at the start, only for sales topics, - Database, Primary, and Critic handle the rest, - Critic approves final message. - Flow is cleaner, scaling is easier.
We ditched AI Selector in Autogen. Too many misfires — SalesAgent was picked 50/50 with PrimaryAgent, even when it made no sense. Result: bloated, off-topic messages. We needed more control.
We're building file sync between Slack, Google Drive and our AI agent. Why? Because an agent that can't access your files isn't really helpful. Trust starts with not missing important context. #buildinpublic #aiagents
Dev diary #20 Right now we’re fully focused on getting three core features out the door: - file sync between Slack, Google Drive and the AI agent, - removing the selector function and replacing it with a graph-based approach, - adding a database so the AI can start saving memory
Dev diary #8 — We officially hit AI Agent bingo: everything that could go wrong, went wrong. Infinite loops, tool misuse, ignoring questions — the full set. Sometimes that’s how you learn.
Dev diary #7 — We hit memory limits: API-only access makes our agent forget info it once “knew.” Solution: add a database for key facts and memory. Let AI decide what to save. First step toward better context handling. More here: patys.dev/daily/2025-06/…
Dev diary #6 — MCP servers? We decided no, to avoid extra complexity. Key questions: how many agents, who uses them, and tooling access. For now, one team, one system, no extra microservice. More here: patys.dev/daily/2025-06/…
Dev diary #5 — Pandora’s box opened: agents started mentioning each other (and us), causing chaos with Slack pings. Lesson: maybe agents shouldn’t mention others, and emergency stops are a must. More here: patys.dev/daily/2025-06/…
Dev diary #4 — What makes a good AI tool? Testing two approaches: • complex end-to-end functions for specific tasks, • small modular functions AI can chain. Trade-offs between completeness, size, and model limits. More thoughts here: patys.dev/daily/2025-06/…
Dev diary #3 — Slack search challenge: AI Agent can’t use “user” token scope, so I’m stuck with inefficient regex over message history. Anyone got a better way? Details & thoughts: patys.dev/daily/2025-06/…
Dev diary #2 — Stocking the toolbox: no vector DB, just APIs. Slack, Google Drive, Apollo — all hooked as tools LLM calls on demand. Keeps things simple and effective. More here: patys.dev/daily/2025-06/…

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