Aayush Wanve@aayudev

Buildability.ai solves the primary bottleneck in modern software engineering and startup creation: blind development, inaccurate technical scoping, and unexpected infrastructure expenses. Over 90% of technical projects fail due to unverified dependencies or runaway cloud fees. Buildability.ai bridges the gap between raw product briefs and production-ready execution. By analyzing text concepts or live public GitHub repository URLs, Buildability.ai triggers an automated multi-agent evaluation pipeline. Powered by the AI/ML API (GPT-4o-mini) for structured JSON reasoning and Bright Data MCP for live codebase metadata extraction, the platform generates a comprehensive technical report in under 30 seconds. Each report delivers a visual 0–100 Buildability Scorecard assessing clarity, technical complexity, and market potential. It itemizes monthly operational costs across cloud hosting, database provisioning, and third-party APIs while auditing open-source dependencies for security risks. Finally, it formats an actionable, week-by-week implementation roadmap, giving founding teams and developers immediate technical clarity before writing code.

CodeScope AI is an AI-powered code review intelligence platform built with Next.js 16, TypeScript, and Fireworks AI (DeepSeek V4 Pro on AMD GPUs). It accepts four types of input: code snippets, git diffs, GitHub repository URLs, and GitHub pull request URLs. For code snippets and diffs, it runs a static analysis engine with 25+ security vulnerability patterns and performance issue detection, producing line-level findings with severity ratings and fix suggestions. For GitHub repositories, it fetches the repo structure, downloads up to 15 key source files, and produces a full intelligence dashboard including: security and performance scores out of 100, a risk heatmap, an interactive dependency graph, language breakdown, folder structure visualization, and an AI-generated executive summary with technical debt assessment, strengths, weaknesses, and suggested improvements. For pull requests, it fetches the PR metadata and file changes, then provides a merge readiness assessment with critical issue identification. All AI features are powered by Fireworks AI's DeepSeek V4 Pro model, running on AMD Instinct MI300X GPUs, with reasoning mode disabled for clean, direct output. The dashboard uses React Flow for dependency graphs, Recharts for data visualization, and Framer Motion for animations. Deployable on Vercel with one click or via Docker.

SaaS Feature Factory is a multi-agent software development pipeline that automates the entire feature lifecycle — from specification to deployment — using Band as the coordination layer. The system comprises five specialized AI agents: - Spec Agent: Analyzes feature requests and produces structured blueprints identifying exactly which files to create or modify, with API endpoint specifications and complexity estimates. - Code Gen Agent: Generates deterministic, production-quality code using seven template-based generators (pagination, search, label filtering, CSV export, OTP authentication, dark mode, user preferences) — delivering predictable output that passes QA every time, unlike raw LLM-generated code. - QA Agent: Runs the full test suite (vitest) against generated patches, validates correctness, and produces signed-off QA reports. - Deploy Agent: Deploys validated features to the running application. - Docs Agent: Generates changelog entries and API documentation updates. All five agents communicate through Band WebSocket as their primary collaboration layer. Each agent connects via the official Band Agent API using per-agent credentials, routing messages through Band rooms with correlation IDs preserved end-to-end across every handoff. The BandAgentAdapter (extending SimpleAdapter) bridges

🌎 Hybrid Hackathon | 💻 Online Build: October 16–19, 2026 | 📍 On-site: October 19–20, 2026 The official hackathon of AI & Big Data Expo Europe, organized by TechEx Events and lablab.ai. Build AI applications and agents across AI, cybersecurity, cloud, IoT, automation, edge computing, digital transformation, and data infrastructure, then showcase your project live at one of Europe's largest enterprise technology events. 📍 On-site Venue (October 19–20): RAI Amsterdam Europaplein 24, 1078 GZ Amsterdam, Netherlands 📍 If approved for the on-site experience, you'll also have the opportunity to showcase your project live. Travel and accommodation will not be covered.

🌎 Hybrid Hackathon | 💻 Online Build: September 10–16, 2026 | 📍 On-site: September 15–17, 2026 The official hackathon of AI Infra Summit — co-organized by Kisaco Research and lablab.ai. Build production-grade AI applications on the modern AI infrastructure stack, alongside 8,000+ attendees, researchers, founders, and infra leaders. 📍 On-site Venue (September 15–17): Santa Clara Convention Center 5001 Great America Pkwy, Santa Clara, CA 📍 On-site participation is by invitation only. Travel and accommodation expenses will not be covered.

🌎 Online Hackathon | 📅 August 3–10, 2026| 💻 Powered by native.builder The official native.builder hackathon, hosted by NativelyAI and lablab.ai. Join founders, developers, designers, and builders to create real AI-native applications powered by native.builder: from idea to deployed product, fully in the cloud. 💻 This hackathon is fully online. No travel required.