Abduldiyan Deshmukh@abduldiyan_deshmukh519

Developers waste countless hours trying to replicate production bugs, while project managers lack real-time visibility into codebase health. Worse, developers hesitate to let AI directly edit production code without mathematical proof that the fix actually works. BuildCheck AI solves this by transforming IBM Bob from a standard chat assistant into an autonomous, enterprise-grade DevSecOps pipeline. We help software teams turn ideas into impact faster by creating a mathematical trust layer between the AI and the developer. Our architecture consists of three core pillars: The Developer Interface (IBM Bob): We don't force developers to use a new website. We integrated our system directly into the IBM Bob IDE using Custom Modes, Slash Commands (/fixbug), and Context Mentions. The Execution Engine (Python MCP Server): This is the magic of our project. We built a custom Model Context Protocol (MCP) server that gives IBM Bob "hands." Instead of just guessing code, Bob executes a strict Test-Driven Development (TDD) loop in an isolated Python sandbox. The Command Center (Django & HTMX): A live web dashboard for product managers. As Bob autonomously fixes bugs in the IDE, or as our background security daemon blocks active server threats, the dashboard updates from RED to GREEN in real-time. In our demo, we tackle a complex Senior-level Fintech bug: a "penny shaving" proration error in an invoice calculator. When a messy bug report is received, a developer simply triggers our custom IBM Bob mode. Bob reads the report, autonomously writes a failing pytest to prove the missing penny, executes the test via the MCP Sandbox, fixes the algorithmic logic, and runs the test again to verify the math is perfect. Finally, Bob automatically hits our Django webhook to close the ticket. BuildCheck AI proves that with IBM Bob and MCP, AI doesn't just guess at code—it proves it works, securely and autonomously.

Learn how modern AI agents interact with the live web through hands-on workshops, real infrastructure, and a community builder weekend in San Francisco. 📅 May 25–31, 2026 • May 25 – 30: Online Build Phase • May 30: Hybrid Build Day (Online & Onsite) • May 31: Demos & Awards (Online & Onsite) 🌍 Hybrid event. Join online from anywhere or build onsite in San Francisco. 🚀 The onsite experience will take place during the opening of Bright Data’s new SF space, The Web Data Loft. 📍 On-site Venue (May 30–31): The Web Data Loft 625 2nd St, San Francisco, CA 🏆 $5,000 cash prize + Bright Data AI Startup Program opportunities 🍕 Free food, drinks, networking, workshops, mentorship, and live demos 🧑‍💻 Apply now to build AI agents powered by real-time web access.

AI Genesis is a global hybrid hackathon that brings AI builders together from around the world — starting online and culminating live at /function1 AI Conference & Exhibition 2026 in Dubai. 📅Oct 26 – Nov 3, 2026 • Oct 26 – Nov 2: Online build & collaboration All projects must be submitted by end of day on November 2. • Nov 2 (Online + Dubai): An exclusive on-site build day in Dubai for selected participants. • Nov 3 (Dubai): Live on-stage pitching & winners announcement at the /function1 Conference. 🌟 Get support from expert mentors throughout. 👥 Go solo or team up. 📍 Please note: 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. 🧑🏻‍💻 Secure your spot now, sign up before the Kick-Off Stream!

Build solutions that improve how software is built. Work with an AI that understands your codebase, helping you reduce repetitive work and build with real context. ⏳ Build your project in 48 hours. 🚀 Get hands-on with IBM Bob and explore how AI fits into real development workflows before it becomes standard. 💡 Build tools and workflows that developers would actually use. ⭐ Learn directly from experts throughout the event. 🤝 Join a team or build solo. 💰 Prize pool: $10,000 🧑🏻‍💻 Register before the Kick-Off Stream and start building with Bob.