Observer

What it does

Have you ever felt fatigued by constantly switching between your IDE and observability tools when debugging? I kept losing my flow every time I had to leave VS Code to check PostHog. So, I built Observer to live stream logs right where I code. Now I catch issues faster and fix them without losing context. I hope it makes your debugging more efficient too.

See your PostHog events right inside VS Code. Live streaming every 5 seconds, AI anomaly detection, and one-click debugging without leaving your editor.

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  Time travel debugger for web development2021 · replay.io · ▲681

  Automated Penetration Testing for AI-Built Apps

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  superlogJun 2026 · superlog.sh · ▲497

  Hey HN, we’re Nico and Arseniy, co-founders of Superlog (https://superlog.sh). We're building a self-installing, self healing observability tool meant not to be opened. It has a wizard that daily sets up proper logging and an agent that investigates errors and opens PRs. Super short demo: https://www.youtube.com/watch?v=xFhU9Mk247M. In our earlier startups, we tried Sentry, Datadog, Grafana, Dash0, and nothing was good enough. Proper telemetry and alerting still requires a ton of manual setup. We struggled with adding good logs, so debugging was tough, especially as…

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  Replay2021 · replay.io · ▲279

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• LI
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• VT
  Videobug – The time travel debugger for JVM2022 · ▲63

  Hi All, this is Shardul here - I am the co-founder of Videobug. https://bug.video We are super excited to share Videobug with you. Videobug records run time code execution so that developers can watch it line by line as frequently as they want, right in their IDE. It takes away the pain of recreating exact conditions that led to a bug and saves developer time in every bug squash. Parth (my co-founder) and I have worked on multiple production grade applications in startups and enterprises. We used Logrocket, Sentry, and Datadog for logging and found ourselves adding more logs after…

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  Letting LLMs Run a Debugger2025 · github.com · ▲147

  Hey HN, I just built an experimental VSCode extension called LLM Debugger. It’s a proof-of-concept that lets a large language model take charge of debugging. Instead of only looking at the static code, the LLM also gets to see the live runtime state—actual variable values, function calls, branch decisions, and more. The idea is to give it enough context to help diagnose issues faster and even generate synthetic data from running programs. Here’s what it does: * Active Debugging: It integrates with Node.js debug sessions to gather runtime info (like variable states and stack traces). *…

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• AG
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  I built a tiny LLM to demystify how language models work▲915

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  Fathom 3.0▲800

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  Brutalist Concrete Laptop Stand (2024)▲786

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  I built a frontpage for personal blogs▲783

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  AI · Apr 2026 · text.blogosphere.app