If you’re into AI-powered software development, you should definitely check this out I came across this awesome curated list of AI developer tools that cover everything from code completion and debugging to app/UI generators and testing: 🔹 IDEs & IDE extensions 🔹 Git clients 🔹 Web-based tools 🔹 Command-line & shell assistants 🔹 Agents & PR assistants 🔹 Documentation tools 🔹 OpenAI plugins …and much more! A big shoutout to James Murdza for putting this together, it’s a goldmine for developers looking to leverage AI in their workflow. Check it out here: https://lnkd.in/dnf4WW22
Curated list of AI tools for developers
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      Is OpenAI Agent Kit Really a Startup Killer? Everyone’s been saying it is. James Murdza and I tested it yesterday to find out(link to the stream in comments)The visual builder looks clean and you get real-time debugging, which is nice. Widget Studio (their v0 clone) works for quick UI components, and the MCP connector registry is solid. It exports to Agent SDK code cleanly too. But here’s where it falls apart. You can’t reuse components across workflows at all - zero modularity. Everything only works with chat triggers, so forget about emails, schedules, or webhooks. The whole thing feels like a UI wrapper on their existing Agent SDK. This isn’t competing with real automation tools like Zapier, n8n, or proper agent frameworks. Has anyone else tested this? Curious what you’re seeing. To view or add a comment, sign in 
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      ⚠️ The No-Code Hangover Is Coming Everyone rushed to “automate everything” with no-code tools during the AI boom. Now we’re waking up to the bill. What looked fast is turning into massive technical debt: -Fragile API chains that break overnight -Zero version control or security -Hidden costs that scale faster than revenue -Teams afraid to touch their own automations No-code got us moving. But to scale, we need real, secure, and reliable code systems — not spaghetti flows held together by webhooks. 2025 isn’t about building faster. It’s about building right. 💬 Agree or disagree — are we headed for a no-code reckoning? #NoCode #TechnicalDebt #AIAutomation #WorkflowAutomation #AIInfrastructure #SaaSDevelopment #FutureOfWork #BuildInPublic (c) image by google To view or add a comment, sign in 
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      The Solution Wasn’t Smarter Prompts, It Was Better Context How I spent 8+ hours debugging a "compatible" integration—and solved it in 15 minutes with the right context It was 2 AM, and I was staring at a spinning loader that refused to stop. The UI was frozen, the stream had died silently, and I had no idea why. I was upgrading our backend to use Mastra—a TypeScript agent framework for building AI applications with agentic workflows—to work with our existing frontend that consumed Vercel AI SDK v5 streams. On paper, this should have been straightforward. Mastra advertised compatibility with Vercel v5, and our React frontend was already configured to consume UIMessage streams over Server-Sent Events (SSE). But the first test run? Complete failure. Let me give you some context. We were building a production application with: Frontend: React app using Vercel AI SDK's useChat hook to consume streaming AI responses Backend: NestJS running on Express (not Next.js) The Upgrade: Integrating Mastra's powerful agentic workflows to replace our simpler L https://lnkd.in/g39dmv3W To view or add a comment, sign in 
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      Jules Enters the Command Line: Google’s Coding Agent Gets Real ⚙️ Developers, your new pair programmer just moved into your terminal. Meet Jules Tools — Google’s new command-line interface for its coding agent, Jules. It transforms Jules from a cloud-based helper into a hands-on coding companion, ready to automate tasks, analyze bugs, and even push pull requests right from your command line. Here’s what makes it exciting: 💬 Run and monitor Jules directly in the CLI 🚀 Automate triage and bug fixing via the new Jules API 🤖 Spin up agents that respond to Slack reports, test code, and generate PRs Jules Tools isn’t just automation — it’s the birth of agentic collaboration inside your dev environment. No browser tabs. No lag. Just AI in your flow. #ParseDevelopers #GoogleDevelopers #AIinDev #CodingAgents #Automation #DeveloperTools To view or add a comment, sign in 
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      GitHub integration means Claude reads your repo, writes the code, creates the pull request. You review and merge. The workflow flipped without anyone noticing. Anthropic just launched Claude Code on the web. No downloads needed. No command line required. Just open your browser and start coding. The game-changer? You can run multiple coding tasks at once: • Fix several bugs simultaneously • Update backend routes in parallel • Generate pull requests while testing sandbox changes It's like having an AI development team that works while you focus on strategy. Some teams already generate 90% of their code through Claude. The tool has grown 10x since May and drives hundreds of millions in revenue. This isn't just about faster coding. It's about removing barriers. New developers can prototype faster. Experienced teams can scale better. Everyone can focus on the problems that matter. The shift from command-line tools to browser-based workflows makes AI coding accessible to everyone. Starting with Pro and Max subscribers. Mobile version coming soon. The future of development isn't replacing developers. It's amplifying what we can build. What coding tasks would you delegate to an AI assistant first? #AI #SoftwareDevelopment #Claude 𝐒𝐨𝐮𝐫𝐜𝐞: https://lnkd.in/gc_kT5n7 To view or add a comment, sign in 
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      Build an Express Agent with LlamaIndex TypeScript Workflows ⚡ We have new docs walking through a production-ready agent system that combines tool-calling capabilities with real-world deployment patterns using our TypeScript workflows framework. 🤖 Create a workflow with a basic tool-calling agent loop that can execute tasks autonomously 📊 Add state management to track agent progress and maintain context across interactions 👤 Implement human-in-the-loop patterns for critical decisions that require human approval 🚀 Deploy your agent to an Express server for real-world usage Build a complete agent system from scratch, starting with basic tool calling and progressing to sophisticated state management and human oversight. You'll work with OpenAI APIs and see how our workflow system handles complex agentic patterns with clean, readable TypeScript code. Perfect for developers who want to move beyond simple chatbots and build agents that can handle multi-step processes with proper oversight and deployment infrastructure. Start building: https://lnkd.in/gEvnP-_3 To view or add a comment, sign in 
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      LlamaIndex keeps pushing the envelope. Express Agents in TypeScript are a big step toward making AI orchestration feel native to modern dev stacks. At Tailored Techworks, we’ve seen the same pattern: single agents are great for prototypes, but production teams need multi-agent orchestration shared memory, fault-aware retries, and guardrails that keep reasoning flows stable at scale. Think of it as turning your AI endpoints into a collaborative network instead of siloed experts. What’s your biggest challenge right now when trying to make agents actually talk to each other? #AIOrchestration #LlamaIndex #TypeScript #MultiAgent #Fuzentry #DevTools #ServerlessAI #AIEngineering #TailoredTechworks Build an Express Agent with LlamaIndex TypeScript Workflows ⚡ We have new docs walking through a production-ready agent system that combines tool-calling capabilities with real-world deployment patterns using our TypeScript workflows framework. 🤖 Create a workflow with a basic tool-calling agent loop that can execute tasks autonomously 📊 Add state management to track agent progress and maintain context across interactions 👤 Implement human-in-the-loop patterns for critical decisions that require human approval 🚀 Deploy your agent to an Express server for real-world usage Build a complete agent system from scratch, starting with basic tool calling and progressing to sophisticated state management and human oversight. You'll work with OpenAI APIs and see how our workflow system handles complex agentic patterns with clean, readable TypeScript code. Perfect for developers who want to move beyond simple chatbots and build agents that can handle multi-step processes with proper oversight and deployment infrastructure. Start building: https://lnkd.in/gEvnP-_3 To view or add a comment, sign in 
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      GitHub integration means Claude reads your repo, writes the code, creates the pull request. You review and merge. The workflow flipped without anyone noticing. Anthropic just launched Claude Code on the web. No downloads needed. No command line required. Just open your browser and start coding. The game-changer? You can run multiple coding tasks at once: • Fix several bugs simultaneously • Update backend routes in parallel • Generate pull requests while testing sandbox changes It's like having an AI development team that works while you focus on strategy. Some teams already generate 90% of their code through Claude. The tool has grown 10x since May and drives hundreds of millions in revenue. This isn't just about faster coding. It's about removing barriers. New developers can prototype faster. Experienced teams can scale better. Everyone can focus on the problems that matter. The shift from command-line tools to browser-based workflows makes AI coding accessible to everyone. Starting with Pro and Max subscribers. Mobile version coming soon. The future of development isn't replacing developers. It's amplifying what we can build. What coding tasks would you delegate to an AI assistant first? #AI #SoftwareDevelopment #Claude 𝐒𝐨𝐮𝐫𝐜𝐞: https://lnkd.in/gbSpNpjz https://lnkd.in/gDV7--We To view or add a comment, sign in 
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