Alternatives
Products that do what JVM CodeLens does
AI finds the exact line of code crashing your JVM
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- 2SW
[I'm the author] Spall is a web-accessible profiler that I made to help my web-dev friends load gigabyte+ JSON traces without lunch-break-long load times. Recently, Spall got experimental support for auto-tracing with binary traces (along with an in-progress native-port, to give it more memory headroom), which was used to help track down and fix some hard-to-spot lock contention issues in the Odin-language compiler. I demoed it at the Handmade Seattle conference in October, https://guide.handmade-seattle.com/c/2022/spall/, with a head-to-head against Perfetto,…
2023 · gravitymoth.com
- 3BI
2020 · blunders.io
- 4VT
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…
2022
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- 6LT
2013 · blog.paralleluniverse.co
- 7MD
2016 · github.com
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Trace LLM requests + costs with OpenTelemetry monitoring
Oct 2025
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- 10YD
If you've built any web-based app in the last 15 years, you probably used something like Datadog, New Relic, Sentry, etc. to monitor and trace your app, right? Why should it be different when the app you're building happens to be using LLMs? So today we're open-sourcing OpenLLMetry-JS. It's an open protocol and SDK, based on OpenTelemetry, that provides traces and metrics for LLM JS/TS applications and can be connected to any of the 15+ tools that already support OpenTelemetry. Here's the repo: https://github.com/traceloop/openllmetry-js A few months ago we launched…
2024 · github.com
- 11AC
Hey HN, I’m Henry, cofounder and CTO at Span (https://span.app/). Today we’re launching AI Code Detector, an AI code detection tool you can try in your browser. The explosion of AI generated code has created some weird problems for engineering orgs. Tools like Cursor and Copilot are used by virtually every org on the planet – but each codegen tool has its own idiosyncratic way of reporting usage. Some don’t report usage at all. Our view is that token spend will start competing with payroll spend as AI becomes more deeply ingrained in how we build software, so understanding how…
Sep 2025 · code-detector.ai
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- 13UL
Hi Hacker News! We’re Vadim and Chris from Highlight.io [1]. We do web app monitoring and are working on using LLMs/embeddings to add new functionality to our error monitoring product. Given that there’s a lot of founders/engineers using LLMs in their products, we figured we’d share how we built the new functionality, their impact on our workflows, and how you can try it out. Our goal was to build two features: (1) tagging errors (e.g. deeming an error as “authentication error” or a “database error”); and (2) grouping similar errors together (e.g. two errors that have a different…
2023 · github.com
- 14WA
Hi HN! I'm building a JavaScript debugger called Wirebrowser. It combines network inspection, request rewriting, heap snapshots, and live object search. The main experimental feature is BDHS (Breakpoint-Driven Heap Search): it hooks into the JavaScript debugger and automatically captures a heap snapshot at every pause and performs a targeted search for the value or structure of interest. This reveals the moment a value appears in memory and the user-land function responsible for creating it. Another interesting feature is the Live Object Search: it inspects runtime objects (not just…
Dec 2025 · github.com
- 15AI
2025 · github.com
- 16JI
Hi HN, I built a code generator plugin for IntelliJ that uses LLMs to create repetitive Java code like implementations, tests, and fixtures — based on custom natural-language patterns and annotation-based references. Most tools like Copilot or Cursor aim to be general, but fail to produce code that actually fits a project structure or passes tests. So I made something more explicit: define patterns + reference scope, and generate code consistently. In this demo, 400 lines of Java were generated in 20 seconds — and all tests passed: https://www.youtube.com/watch?v=ReBCXKOpW3M…
2025 · github.com
- 17WB
Hey HN, We’re two developers (co-founders) with a team of 20 who got tired of spending hours reviewing PRs, so we built Infinitcode.ai, an AI-powered code reviewer that: - *Summarizes PRs in plain English*: No more deciphering 1,000-line diff jungles - *Catches more than bugs*: Security holes, performance pitfalls, code smells, even typos (yes, we’ll flag “vurnerabilities” and vulnerabilities) - *Zero onboarding*: Works instantly—no “let me learn your codebase for weeks” nonsense. Why we’re posting: We’re in alpha and need brutal honesty. Roast our tool, mock our UI, or tell us why AI will…
2025 · infinitcode.ai
- 18LE
I started using Claude Code (claude --dangerously-skip-permissions) and Codex (codex --yolo) and realized I had no reliable way to know what they actually did. The agent's own output tells you a story, but it's the agent's story. logira records exec, file, and network events at the OS level via eBPF, scoped per run. Events are saved locally in JSONL and SQLite. It ships with default detection rules for credential access, persistence changes, suspicious exec patterns, and more. Observe-only – it never blocks. https://github.com/melonattacker/logira
Mar 2026 · github.com
- 19WF
2021 · prodfiler.com
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- 21LB
Hey HN, Spark event logs run into 100s of MBs and offer a wealth of insight into your workloads but making sense of them has always been quite a bit prohibitive. We’ve recently built a lightweight tool that automatically parses Spark event logs and surfaces targeted insights to help you optimize your data jobs. Whether you’re chasing down a bottleneck or balancing performance vs. cost, the profiler got you covered with real-time configuration recommendations, data skew analysis, and more. Curious how it works in action? Check out this quick Loom video for a walk-through:…
2025 · datasre.ai
- 22MT
2024 · github.com
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- 24AJ
2017 · github.com
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