JetBrains AI

JetBrains AI AI

JetBrains AI AI

JetBrains AI AI

JetBrains AI AI

JetBrains AI AI

JetBrains AI AI

JetBrains AI AI

JetBrains AI AI

JetBrains AI AI

JetBrains AI AI

How aware are professional developers of different AI coding tools, and how widely are they actually adopted at work? Find out in this blog post based on evidence from large-scale, globally represent

How aware are professional developers of different AI coding tools, and how widely are they actually adopted at work? Find out in this blog post based on evidence from large-scale, globally representative developer surveys conducted in 2025 and 2026. https://t.co/QjlxUD82L1 https://t.co/1iIMqJGOLW

Why do so many Java open source projects fail? @aalmiray (Java Champion, creator of JReleaser) shares hard lessons on release automation, OSS maintenance, and AI-driven contributions. 🎥 Watch: https:

Why do so many Java open source projects fail? @aalmiray (Java Champion, creator of JReleaser) shares hard lessons on release automation, OSS maintenance, and AI-driven contributions. 🎥 Watch: https://t.co/fqyZ4Yvrsq https://t.co/P3aOtKX6iq

"Claude Code isn't magic. The harness layer is just software, and software is something any dev can shape to fit how they want to work." Check out @Hacubu’s practical guide to building a custom agent

"Claude Code isn't magic. The harness layer is just software, and software is something any dev can shape to fit how they want to work." Check out @Hacubu’s practical guide to building a custom agent with @LangChain’s Deep Agents, LangSmith, and ACP. https://t.co/tat5aBW8Vg

Discover Whiteboards and new ways to use YouTrack with your AI stack – all in the latest YouTrack release!👇

Discover Whiteboards and new ways to use YouTrack with your AI stack – all in the latest YouTrack release!👇

We’re now hiring in Spain! 🇪🇸 Madrid is our starting point, but we’re hiring remotely across the country. Explore 70+ open roles: https://t.co/ywKPy3PCSz https://t.co/31TB715VMe

We’re now hiring in Spain! 🇪🇸 Madrid is our starting point, but we’re hiring remotely across the country. Explore 70+ open roles: https://t.co/ywKPy3PCSz https://t.co/31TB715VMe

Claude Code Source Deep Dive (Part 3): Full System Prompt Assembly Flow + Original Prompt Text (2)

Reader’s Note On March 31, 2026, the Claude Code package Anthropic published to npm accidentally included .map files that can be reverse-engineered to recover source code. Because the source maps pointed to the original TypeScript sources, these 512,000 lines of TypeScript finally put everything on the table: how a top-tier AI coding agent organizes context, calls tools, manages multiple agents, and even hides easter eggs. I read the source from the entrypoint all the way through prompts, the task system, the tool layer, and hidden features. I will continue to deconstruct the codebase and provide in-depth analysis of the engineering architecture behind Claude Code. Claude Code Source Deep Dive — Literal Translation (Part 3) 2.8 Full Prompt Original Text: Tool Usage Guide Source: getUsingYourToolsSection() # Using your tools - Do NOT use the Bash to run commands when a relevant dedicated tool is provided. Using dedicated tools allows the user to better understand and review your work. This is CRITICAL to assisting the user: - To read files use Read instead of cat, head, tail, or sed - To edit files use Edit instead of sed or awk - To create files use Write instead of cat with heredoc or echo redirection - To search for files use Glob instead of find or ls - To search the content of files, use Grep instead of grep or rg - Reserve using the Bash exclusively for system commands and terminal operations that require shell execution. If you are unsure and there is a relevant dedicated tool, default to using the dedicated tool and only fallback on using the Bash tool for these if it is absolutely necessary. - Break down and manage your work with the TaskCreate tool. These tools are helpful for planning your work and helping the user track your progress. Mark each task as completed as soon as you are done with the task. Do not batch up multiple tasks before marking them as completed. - Use the Agent tool with specialized agents when the task at hand matches the agent's description. Subagents are valuable for parallelizing independent queries or for protecting the main context window from excessive results, but they should not be used excessively when not needed. Importantly, avoid duplicating work that subagents are already doing - if you delegate research to a subagent, do not also perform the same searches yourself. - For simple, directed codebase searches (e.g. for a specific file/class/function) use the Glob or Grep directly. - For broader codebase exploration and deep research, use the Agent tool with subagent_type=Explore. This is slower than using the Glob or Grep directly, so use this only when a simple, directed search proves to be insufficient or when your task will clearly require more than 3 queries. - You can call multiple tools in a single response. If you intend to call multiple tools and there are no dependencies between them, make all independent tool calls in parallel. Maximize use of parallel tool calls where possible to increase efficiency. However, if some tool calls depend on previous calls to inform dependent values, do NOT call these tools in parallel and instead call them sequentially. 2.9 Full Prompt Original Text: Tone and Style Source: getSimpleToneAndStyleSection() # Tone and style - Only use emojis if the user explicitly requests it. Avoid using emojis in all communication unless asked. - Your responses should be short and concise. - When referencing specific functions or pieces of code include the pattern file_path:line_number to allow the user to easily navigate to the source code location. - When referencing GitHub issues or pull requests, use the owner/repo#123 format (e.g. anthropics/claude-code#100) so they render as clickable links. - Do not use a colon before tool calls. Your tool calls may not be shown directly in the output, so text like "Let me read the file:" followed by a read tool call should just be "Let me read the file." with a period. 2.10 Full Prompt Original Text: Output Efficiency Source: getOutputEfficiencySection() External-user version # Output efficiency IMPORTANT: Go straight to the point. Try the simplest approach first without going in circles. Do not overdo it. Be extra concise. Keep your text output brief and direct. Lead with the answer or action, not the reasoning. Skip filler words, preamble, and unnecessary transitions. Do not restate what the user said — just do it. When explaining, include only what is necessary for the user to understand. Focus text output on: - Decisions that need the user's input - High-level status updates at natural milestones - Errors or blockers that change the plan If you can say it in one sentence, don't use three. Prefer short, direct sentences over long explanations. This does not apply to code or tool calls. Anthropic internal version # Communicating with the user When sending user-facing text, you're writing for a person, not logging to a console. Assume users can't see most tool calls or thinking - only

Agents excel when the specs are known, like a compiler, browser, or language server. But the harder part is deciding what to build and how. We still haven’t seen agents make those product decisions en

Agents excel when the specs are known, like a compiler, browser, or language server. But the harder part is deciding what to build and how. We still haven’t seen agents make those product decisions end-to-end. We covered this live:https://t.co/YXSDyXLklG https://t.co/BJWmGApvKj

“Migrations are a stamina problem.” – Sendil Nellaiyapen, Engineering Leader at Uber. Learn how to use AI agents to take on routine work and keep your best engineers from burning out! 🚀 April 7 at

“Migrations are a stamina problem.” – Sendil Nellaiyapen, Engineering Leader at Uber. Learn how to use AI agents to take on routine work and keep your best engineers from burning out! 🚀 April 7 at 3:00 pm UTC. Register: https://t.co/kRGDbZBEX0 https://t.co/dxW4E84B1S

Taken an Uber lately? Kotlin helps power billions of trips. Hear Uber’s JVM Platform TL on introducing Kotlin into one of the world’s largest Java codebases. Join us at #KotlinConf in Munich, May 20

Taken an Uber lately? Kotlin helps power billions of trips. Hear Uber’s JVM Platform TL on introducing Kotlin into one of the world’s largest Java codebases. Join us at #KotlinConf in Munich, May 20–22. 50 days left - get your ticket! https://t.co/C2P0duouNH https://t.co/ggqKiQtART

MCP server that gives your AI editor deep context about your codebase — works with Claude Code, Cursor, VS Code

I’ve been working with AI editors for a while, and I kept hitting the same wall: every new session wastes time relearning the project from scratch. It guesses the wrong files, the wrong patterns, and the wrong structure total context amnesia. So we built Zephex an MCP server that gives your AI instant, accurate project context every time you open your editors Once connected, it knows your codebase layout, key files, architecture, and how things link together — no warm‑up chats needed. It includes 9 built‑in MCP tools for smarter coding: Full project brief + architecture breakdown File tree with entry points and complexity hotspots Semantic code search and code reading Task scoping (AI knows what’s relevant before it starts) API + auth flow explanation Live endpoint and header inspection Sequential reasoning for complex decisions You can connect it to Claude Code in a single command: bash claude mcp add zephex --transport stdio -e ZEPHEX_API_KEY=your_key -- npx -y @zephex/mcp@latest Works with Cursor, VS Code, Windsurf, and JetBrains — setup snippets are on the site It’s free for now, all nine tools included, no card required. Would really love some feedback or ideas from other devs trying to make AI coding less painful. (: zephex.dev submitted by /u/Humsec [link] [comments]

Download the new releases from https://t.co/xASkOijmnv, install them through the Toolbox App, or use in-product updates. Looking forward to your feedback!

Download the new releases from https://t.co/xASkOijmnv, install them through the Toolbox App, or use in-product updates. Looking forward to your feedback!

. @rustrover: - Improves the quality of code analysis. - Supports faster test execution with cargo-nextest. - Supports the Call Hierarchy action. - Makes it easier to access macro expansions with a de

. @rustrover: - Improves the quality of code analysis. - Supports faster test execution with cargo-nextest. - Supports the Call Hierarchy action. - Makes it easier to access macro expansions with a dedicated gutter icon. https://t.co/7FBCy5tPfW

. @GoLandIDE focuses on supporting Go 1.26, with new inspections and code modernization workflows. For DevOps scenarios, it also adds support for Terraform Stacks. https://t.co/xBSF6UhvLV

. @GoLandIDE focuses on supporting Go 1.26, with new inspections and code modernization workflows. For DevOps scenarios, it also adds support for Terraform Stacks. https://t.co/xBSF6UhvLV

In @JetBrainsRider: - You can work with standalone .cs files without creating a project. - Game developers will enjoy iOS debugging for Unreal Engine and a new Unity Profiler integration. - For C++ de

In @JetBrainsRider: - You can work with standalone .cs files without creating a project. - Game developers will enjoy iOS debugging for Unreal Engine and a new Unity Profiler integration. - For C++ developers, we've added CMake project support and .NET mixed-mode debugging. https://t.co/kkaI7imTWa

.@clion_ide simplifies migration from VS Code for c_cpp_properties.json users. It also supports DAP debugging via TCP and adds code insight for external CMake projects, ideal for embedded developers.

.@clion_ide simplifies migration from VS Code for c_cpp_properties.json users. It also supports DAP debugging via TCP and adds code insight for external CMake projects, ideal for embedded developers. This release also brings multi-architecture project support for Bazel projects. https://t.co/Ir1YJ0gcby