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Products that do what gorithm.dev does
Ace your next coding interview with algorithm intuition
- 1IB
https://the-pocket.github.io/Tutorial-Codebase-Knowledge/
2025 · github.com
- 2WW
I spent a few hours last weekend testing whether AI can replace code by executing directly. Built a contact manager where every HTTP request goes to an LLM with three tools: database (SQLite), webResponse (HTML/JSON/JS), and updateMemory (feedback). No routes, no controllers, no business logic. The AI designs schemas on first request, generates UIs from paths alone, and evolves based on natural language feedback. It works—forms submit, data persists, APIs return JSON—but it's catastrophically slow (30-60s per request), absurdly expensive ($0.05/request), and has zero UI…
Nov 2025 · github.com
- 3GE
Hello Hacker News community, Wanted to share a project I started working on during my spare time and was then discovered by many in the open source community last week. GPT Engineer’s mission: Be the open platform for devs to tinker with and build their personal code-generation toolbox. I believe it's key for us devs to engage in how building software can and will change. You can find more info about the flexible technical "philosophy" to make it work well, and the community we want it to become on github: https://github.com/AntonOsika/gpt-engineer The project is still in…
2023
- 4MA
I've been exploring the (not so=) amazing potential of AI in coding and have compiled a list of tools. From AI-powered IDEs to code generators, this resource is my contribution to the community. I'm still on the fence about including txt2sql projects, as their functionality seems too basic to me. And I'm personally maintaining this, so your feedback is wellcome.
2025 · aicode.danvoronov.com
- 5GB
Hey HN, I just published v0.1.0 of go-bt and would love some feedback from the Go veterans here. Thanks in advance!
Apr 2026 · github.com
- 6LG
2022 · threedots.tech
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Your AI has your code's text, never its map. Fix that.
Jun 2026 · luuuc.github.io
- 9GO
LLMs are better at being the "mouth" than the "brain" and I can prove it mathematically. I built a deterministic graph engine that offloads reasoning from the LLM. It reduces token usage by 89% and makes a tiny 0.8B model trace enterprise execution paths flawlessly. Here is the white paper and the reproducible benchmark.
Mar 2026 · github.com
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- 12CT
I come from a machine learning background - PyTorch code, leaving a training job running overnight, and Jupyter Notebooks. I hadn't touched much frontend before diving deep into start-ups. It was similar for my co-founder Nick, who spent time working on semiconductors. I started building, and noticing patterns in AI outputs. Enough to be able to understand how a hook works, how to manage state and why Typescript is great. But whenever it came to optimising a piece of code, debugging state issues or designing a codebase from scratch, my mind went blank. I went to ChatGPT Study Mode to seek…
Apr 2026 · chestnut.so
- 13OD
The Problem "Vibing" with LLMs is often too shallow for complex logic, while writing full specifications is cognitively expensive and slow. We need a middle ground that mimics how human programmers gather context—scanning structure before diving into details. The Solution: Outline Driven Development (ODD) I've built a "batteries-included" kit for Gemini/Claude/Codex that uses AST analysis to understand code structure rather than just raw text. This relies on a hyper-optimized Rust toolchain (`ast-grep`, `ripgrep`, `jj`, etc.) to feed precise, structural context to the agent. 1. The…
Nov 2025 · github.com
- 14TO
2025 · github.com
- 15
It's called learnfrom.co, a platform for creating, hosting and selling online courses. I started building it because I wanted to solve a problem I had with existing course platforms. I kept running into things I wanted to change, so I started building them myself. The problem: I wasn't really a software engineer. Instead, I started using AI to build the product. I'd describe what I wanted, let it write the code, test it, fix things when they broke, and repeat. That somehow turned into a real product. LearnFrom is now used by 100+ creators and businesses, with real students and real payments…
13d ago · learnfrom.co
- 16IB
I’ve spent the last 2.5 months building a product that runs LLM-powered code reviews on my pull requests — and I just launched it. The tool is built specifically for solo developers. You install it on your repo, trigger a scan by creating a pull request, and it leaves structured review comments using OpenAI under the hood. Funnily enough, I used the dev version of this app to review its own pull requests while building it. It helped me spot bugs, simplify structure, and keep quality high — all with minimal need for another human in the loop. Things I want to try out in the next months : -…
2025 · codii.dev
- 17IB
Hey everyone! I recently built this little side project that takes any document you upload and turns it into practice quizzes using LLMs to generate the questions: https://www.cuiz-ai.com Being a backend engineer, I have always struggled to finish my side projects due to my awful frontend skills. Now, with the progress of AI coding tools, I had no more excuses. 100% of the frontend, landing page and even the logo was made using a combination of Cursor, ChatGPT and Claude, but it's always been under my supervision and never blindly accepted the proposed changes. The backend and…
2025
- 18
17 AI agents that work like a real engineering team.
Mar 2026 · github.com
- 19KL
I built a platform where you solve tasks together with AI agents (Claude Code, Codex, Cursor — any agent via SSH). Isolated sandbox environments, automated test scoring, global leaderboard. Tasks range from easy (AI one-shots it) to hard (requires human help). Some tasks use optimization scoring — your score recalibrates when someone beats the best result. Built it in 6 days as a solo founder. 100% of code written with Claude Code and Codex. Stack: Go, Next.js, K8s, Supabase, Stripe.
Mar 2026 · kagento.io
- 20TI
Hey HN, The way we hire engineers made sense in 2015. But in 2025, when engineers use AI tools daily, we're still testing algorithm memorization on whiteboards.. That's why we're building DevDay. DevDay is built for the new reality of modern engineering work: candidates collaborate with AI teammates, delegate tasks to AI agents, and solve problems using the tools they'd actually use on the job (LLMs, git, and Slac(k) for team communication). The old interview playbook is fundamentally broken: - Whiteboard anxiety tests don't predict performance - Take-home tests and virtual paired…
2025
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- 22SA
I built SpecMind, an open source developer tool for spec driven vibe coding. It keeps architecture and implementation aligned from the first commit instead of letting them drift apart. With AI assistants writing more of our code, projects move faster but architectural consistency is often lost. Each developer or AI can introduce new patterns, and after a few sprints, the structure becomes fragmented. SpecMind helps prevent that by generating and maintaining living architecture specs directly from your code. It works in three steps: 1. analyze – scans your codebase and generates…
Nov 2025 · github.com
- 23TI
Hey HN! I’m Andrew, and I built Code Coach with my good friends, Akshay and Chetan. Code Coach is an AI-powered interview coach that you talk to. It plugs right into Leetcode and turns any problem into a mock interview – it grills you the same way a real interviewer would and provides in-depth feedback on where you can improve. I built Code Coach to solve some of my own problems when practicing for technical interviews. I knew I had to practice communicating my reasoning while coding, but found it intimidating to schedule mock interviews with friends. More often than not, I ended up talking…
2024 · trycodecoach.com
- 24WC
Hi all, I'm Ivan, and together with Alex, we're building a diagram visualization tool for codebases. Alex and I are devs, and we've noticed that recently we've been super productive at writing code (prompting :D). But when it comes to understanding big systems, prompting doesn't work that well — for that, diagrams are best imo. Most tools out there don't scale to big projects (e.g. PyTorch), so we're building CodeBoarding — a recursive visualizer for codebases. It starts from the highest level of abstractions and lets you dive deeper. We use static analysis and LLM agents. The control-flow…
2025 · github.com
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