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Eduardo Chiarotti
1,548 posts
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Eduardo Chiarotti
@python_byte
AI Systems Engineer Making LLM systems reliable, typed & production-safe Async Python • Agent infra • System design Sharing what I learn
Joined August 2021
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  • Pinned
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    Eduardo Chiarotti
    @python_byte
    Mar 3
    Backend engineer building AI systems for real-world use. LLMs, agents & async Python. I care about – structured outputs – strong typing – observability – clean architecture Architecting AI-native systems & ML-backed products Exploring AI-native SaaS in public Follow for more
    540
  • user avatar
    Eduardo Chiarotti
    @python_byte
    16h
    Everyone's arguing about whether Uncle Bob should read his agents' code. Wrong argument. He said he doesn't review code written by agents anymore. Instead he tracks test coverage, dependency structure, cyclomatic complexity, module size, mutation testing. People are calling that
    29
  • user avatar
    Eduardo Chiarotti
    @python_byte
    Apr 2
    Is it available in @huggingface ?
    user avatar
    Google
    @Google
    Apr 2
    We just released Gemma 4 — our most intelligent open models to date. Built from the same world-class research as Gemini 3, Gemma 4 brings breakthrough intelligence directly to your own hardware for advanced reasoning and agentic workflows. Released under a commercially
    00:00
    19
  • user avatar
    Eduardo Chiarotti
    @python_byte
    Apr 2
    Opus today definitely is not doing its work
    11
  • user avatar
    Eduardo Chiarotti
    @python_byte
    Apr 1
    @liquidai is doing amazing work as always
    user avatar
    Liquid AI
    @liquidai
    Mar 31
    Replying to @liquidai
    Trained on 28T tokens with scaled RL, LFM2.5-350M is a step change from LFM2-350M: > instruction following: 18.20 → 40.69 > data extraction: 11.67 → 32.45 > tool use: 22.95 → 44.11 These are the capabilities that matter in production.
    18