Qoder

Let’s be honest: most coding assistants are just glorified autocomplete. If you have to read, test, fix every line they write, you haven't really saved time. Qoder changes this with Quest 1.0. Finally, an AI that takes ownership of the task, not just the typing 🧵 ↓ Here's what makes Qoder's Quest 1.0 different. __________ 1️⃣ Spec-driven development Instead of rushing into code, Quest starts by defining the scope. It: → clarifies your requirements → generates a technical spec → waits for your approval This ensures alignment on the final output before dev even begins, preventing wasted time on code that misses the mark! __________ 2️⃣ The self-verification loop And here's the real game-changer: Quest cleans up its own mess! It doesn't just hand you code and hope for the best, it runs a cycle of coding, testing, and fixing until the spec is met: ✦ Runs tests automatically ✦ Checks against the approved spec ✦ Fixes its own errors and re-verifies The difference between getting a rough draft and getting a finished feat 💥 __________ 3️⃣ Uber smart auto-routing With Quest 1.0, you actually stop micromanaging your prompts. It breaks down the task and automatically routes each step to the best model for the job: → Code generation goes to coding models → Reasoning tasks go to reasoning / thinking models → UI work goes to multimodal models I tried this workflow on a Chart.js component I’m building with @Streamlit (see demo below ↓). Queued a bunch of tasks, went offline, came back to good code! That’s real delegation 🤘 __________ If you want to see the difference for yourself: → https://qoder.com/download (New users get 300 free credits, enough for ~6 full Quest runs)

✈️✈️✈️What a week for me?! Silicon Valley → Singapore: One Week, Two Stages Last week reminded me why I'm so bullish on the future of AI coding—it's happening in communities, not in isolation. Stop 1: Qoder's Silicon Valley Debut We brought Qoder to Palo Alto for our first US developer meetup. 100+ Bay Area devs showed up. I just unfolded our ambassador and partnership program for US developers and communities while our founder Yu Ding Ding flew in. We didn't just announce a product—we started a conversation. With support from local communities, we launched QoderWork, our agentic workflow tool. But more importantly, we listened. What do North American developers actually need? Not another autocomplete tool. Agents that understand full context, collaborate across teams, and move at the speed of thought. Stop 2: ThursTalks @ Singapore Fresh from Silicon Valley insights, I joined the Lorong AI alongside officials from Govtech Singapore for a fireside chat on where software engineering is heading. The message landed: We're past the "autocomplete era." AI coding agents are becoming full feature developers. But human expertise isn't disappearing—it's elevating. The "software engineer" role isn't dying; it's transforming. Here's what I'm convinced of: The future of AI coding won't be built by companies pushing products in isolation. It'll emerge from developers who code together—across borders, time zones, and ecosystems. Eastern AI innovation + Western developer communities = where the magic happens. And that bridge? That's what I'm building. The work continues. Grateful to Yan Liu , Chelsea Toczauer, Devon Sun, AI Builders, Beta University , Lorong AI and every developer who showed up to these conversations. Where should we host our next Qoder community meetup? Drop your city in the comments. 👇 #Qoder #QoderCoder #QoderWork #AICoding #AgenticCoding #DeveloperExperience #SiliconValley #GovTechSingapore #AIBuilders #DeveloperCommunity #AIInnovation

A brand new Agentic Coding Platform just came out! Qoder is an IDE that's built from the ground up with AI in mind. • It understands the architecture of your code, context, and intent • It tests and validates every output • It learns from your actions to evolve with every project Qoder does something really cool: You can delegate your work to Qoder and let it work independently. They call it "Quest mode," and it offers a glimpse into what the future of programming will look like. Here is how this works: 1. You describe what you want to build 2. You use AI to write a specification based on your description 3. Qoder creates an execution plan and starts working 4. It keeps you updated in real time as it makes progress Something else happens here: As you start using Qoder, the agent takes all of that information and builds an actionable wiki. There are a couple of benefits here: 1. Any tribal knowledge will become part of the long-term information the agent uses. 2. The agent will learn over time and become better and better at serving you. I don't think anything is hotter than the AI Coding space! This is awesome for every developer!