JVM CODE LENS

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JVM CODE LENS

JVM CODE LENS

@jvmcodelens

AI finds the exact line of code crashing your JVM. Heap dumps + GC logs + JFR → source code correlation. Free desktop app. macOS/Win/Linux.

Bengaluru, Karnataka, India Katılım Nisan 2026
71 Takip Edilen0 Takipçiler
Alex Xu
Alex Xu@alexxubyte·
How the JVM Works We compile, run, and debug Java code all the time. But what exactly does the JVM do between compile and run? Here's the flow: Build: javac compiles your source code into platform-independent bytecode, stored as .class files, JARs, or modules. Load: The class loader subsystem brings in classes as needed using parent delegation. Bootstrap handles core JDK classes, Platform covers extensions, and System loads your application code. Link: The Verify step checks bytecode safety. Prepare allocates static fields with default values, and Resolve turns symbolic references into direct memory addresses. Initialize: Static variables are assigned their actual values, and static initializer blocks execute. This happens only the first time the class is used. Memory: Heap and Method Area are shared across threads. The JVM stack, PC register, and native method stack are created per thread. The garbage collector reclaims unused heap memory. Execute: The interpreter runs bytecode directly. When a method gets called multiple times, the JIT compiler converts it to native machine code and stores it in the code cache. Native calls go through JNI to reach C/C++ libraries. Run: Your program runs on a mix of interpreted and JIT-compiled code. Fast startup, peak performance over time.
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Codex Changelog
Codex Changelog@Codex_Changelog·
🚀 Codex 0.121.0 is out! 🛍 Install plugins via codex marketplace add 🔍 Ctrl+R reverse search in TUI history 🧠 Memory controls: view, reset, and delete 🔒 Secure devcontainer with bubblewrap sandbox Changelog: github.com/openai/codex/r…
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Visual Studio Code
Visual Studio Code@code·
Opus 4.7 is now rolling out in @code. Give it a try!
GitHub@github

🆕 @AnthropicAI's Claude Opus 4.7 is now generally available and rolling out in GitHub Copilot. Early testing shows ➡️ It has stronger multi-step task performance and more reliable agentic execution ➡️ Meaningful improvement in long-horizon reasoning and complex workflows Try it out in @code or Copilot CLI. github.blog/changelog/2026…

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Cursor
Cursor@cursor_ai·
Cursor can now respond by creating interactive canvases to visually represent information. Ask it to generate dashboards and custom interfaces that are richer than plain text.
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Spring Tools
Spring Tools@springtools4·
Do you prefer nicely formatted text blocks for your query annotations when using Spring Data? @springtools4 has an option now to produce exactly those when turning repository AOT metadata into query annotations 😍
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Google Research
Google Research@GoogleResearch·
Meet Fabula: an interactive AI writing tool helping authors structure & refine stories. Co-designed with 42 expert writers, the demo showcases how convergent iteration supports creativity. Catch the demo at the Google booth at 10:30AM! #CHI2026
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OpenAI Developers
OpenAI Developers@OpenAIDevs·
Build long-running agents with more control over agent execution. New capabilities in the Agents SDK: • Run agents in controlled sandboxes • Inspect and customize the open-source harness • Control when memories are created and where they’re stored
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ollama
ollama@ollama·
Qwen 3.6 is here, and open-source! Run it locally with improved agentic coding capabilities. Try it with Claude Code: ollama launch claude --model qwen3.6 Try it with OpenClaw: ollama launch openclaw --model qwen3.6 Run it: ollama run qwen3.6
Qwen@Alibaba_Qwen

⚡ Meet Qwen3.6-35B-A3B：Now Open-Source！🚀🚀 A sparse MoE model, 35B total params, 3B active. Apache 2.0 license. 🔥 Agentic coding on par with models 10x its active size 📷 Strong multimodal perception and reasoning ability 🧠 Multimodal thinking + non-thinking modes Efficient. Powerful. Versatile. Try it now👇 Blog：qwen.ai/blog?id=qwen3.… Qwen Studio：chat.qwen.ai HuggingFace：huggingface.co/Qwen/Qwen3.6-3… ModelScope：modelscope.cn/models/Qwen/Qw… API（‘Qwen3.6-Flash’ on Model Studio）：Coming soon～ Stay tuned

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Sundar Pichai
Sundar Pichai@sundarpichai·
Introducing Gemini on Mac. It’s the first time we’re bringing the @Geminiapp to desktop. The team built this initial release with @Antigravity, and it went from an idea to a native Swift app prototype in a few days. More features on the way!
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Andrew Ng
Andrew Ng@AndrewYNg·
New course: Spec-Driven Development with Coding Agents, built in partnership with @jetbrains, and taught by @paulweveritt. Vibe coding is fast, but often produces code that doesn't match what you asked for. This short course teaches you spec-driven development: write a detailed spec defining what to build, and work with your coding agent to implement it. Many of the best developers already build this way. A spec lets you control large code changes with a few words, preserve context across agent sessions, and stay in control as your project grows in complexity. Skills you'll gain: - Write a detailed specification to define your mission, tech stack, and roadmap, giving your agent the context it needs from the start - Plan, implement, and validate features in iterative loops using a spec as your agent's guide - Apply the same repeatable workflow to both new and legacy codebases - Package your workflow into a portable agent skill that works across agents and IDEs Join and write specs that keep your coding agent on track! deeplearning.ai/short-courses/…
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Manu Sisti
Manu Sisti@Manu_Sisti·
I’m convinced: Claude is the most powerful AI tool for making money right now. If you use it to create digital assets today, you could make an extra $10,000/month. I compiled the exact prompts I use into a 53-page PDF. Usually, I'd charge $199 for this, but today I'm giving it away 100% FREE Like + comment 'Claude' & I'll DM it to you Must follow me to get DM. ⏳ Taking this down in 24 hours.
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Kaito
Kaito@KaiXCreator·
Hey founders ! Looking to connect with people building in: 🍽️ SaaS 🚀 Tech 📲 Automation 🧠 AI tools 📱 Product Development 🔥 Web APP 💻 Devs Drop what you're working on👇
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Jamililer
Jamililer@JamilKhabir396·
Gain 10k Verified followers ?✅ Say "hi" 👋 Let's grow together 🚀
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Seb
Seb@plainionist·
If you think software engineers will be replaced by LLMs, you’re not a software engineer. Sorry 🤷‍♂️
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Sahil
Sahil@sahill_og·
Bro disappeared like never existed
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Om
Om@Om_Codes_·
- Meet Dario Amodei - Co-founder of Anthropic - Worked at OpenAI - Became one of the key contributors behind GPT-2 & GPT-3 - Left a stable job at OpenAI - Founded Anthropic with his sister, Daniela Amodei - Built it from scratch - Competing against giants like OpenAI & Google - Still raised billions - Created Claude AI - Named after Claude Shannon(Father of information theory) - Focused on building AI that is safe, helpful, and less harmful - Prioritizes long-term wins over short-term gains - became One of the biggest players in AI Anthropic went from a startup to a multi-billion-dollar company in just a few years. Crazy founder 🔥
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RyanLee
RyanLee@RyanLeeMiniMax·
No.1. Again! 🎉 Thanks for all OSS developers! MiniMax M2.7 has only 230B parameters with 10B activated, yet delivers excellent results and outstanding performance. @MiniMax_AI It is particularly well-suited for open-source agents such as @openclaw , hermes @NousResearch , and @opencode etc. Moreover, it is totally free for individual developers. We will continue to provide better models and updates to the community. @huggingface
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GitHub
GitHub@github·
🆕 @AnthropicAI's Claude Opus 4.7 is now generally available and rolling out in GitHub Copilot. Early testing shows ➡️ It has stronger multi-step task performance and more reliable agentic execution ➡️ Meaningful improvement in long-horizon reasoning and complex workflows Try it out in @code or Copilot CLI. github.blog/changelog/2026…
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JetBrains
JetBrains@jetbrains·
Your AI coding assistant is only as good as the instructions you give it. This free course with @DeepLearningAI, taught by @paulweveritt, shows you how to write clear specs and build software that's intentional, maintainable, and production-ready.
Andrew Ng@AndrewYNg

New course: Spec-Driven Development with Coding Agents, built in partnership with @jetbrains, and taught by @paulweveritt. Vibe coding is fast, but often produces code that doesn't match what you asked for. This short course teaches you spec-driven development: write a detailed spec defining what to build, and work with your coding agent to implement it. Many of the best developers already build this way. A spec lets you control large code changes with a few words, preserve context across agent sessions, and stay in control as your project grows in complexity. Skills you'll gain: - Write a detailed specification to define your mission, tech stack, and roadmap, giving your agent the context it needs from the start - Plan, implement, and validate features in iterative loops using a spec as your agent's guide - Apply the same repeatable workflow to both new and legacy codebases - Package your workflow into a portable agent skill that works across agents and IDEs Join and write specs that keep your coding agent on track! deeplearning.ai/short-courses/…

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Keşfet

@alexxubyte @Codex_Changelog @code @cursor_ai @springtools4 @GoogleResearch @ycombinator @humworkai