Ayesha Arshad@ayeshaarsd11126971

AI coding agents are powerful, but they often guess at what a developer actually wants — and that guesswork breaks things: unrelated files get touched, edge cases get missed, and nobody can prove the change actually did what was asked. IntentGuard solves this by sitting between the developer and the agent as a local intent layer. When a request comes in, IntentGuard drafts a structured spec covering objective, scope, constraints, and verification criteria, then asks the developer targeted clarifying questions instead of assuming. Only once the spec is approved does the agent — in our case, IBM Bob 2.0 — start editing, and only within the approved scope. Every file touched is checked against a scope fence in real time, and every change ends with a proof report confirming what was verified, not just claimed. IntentGuard is built for developers and teams who use AI coding agents daily and want speed without losing control — from solo developers wary of AI "helpfully" breaking unrelated code, to teams enforcing review discipline at scale. It connects to any MCP-capable agent (Bob, Claude Code, Cursor, and others), runs entirely locally, and turns "the AI did something" into "the AI did exactly this, and here's the proof."

🧩 Problem Meetings often generate long discussions, but key decisions, action items, and follow‑ups get lost because: Manual note‑taking is time‑consuming and error‑prone. Audio/video meetings are difficult to convert into structured minutes. Teams struggle to track who is responsible for what and deadlines. Lack of clear documentation leads to missed tasks and poor accountability. 💡 Solution The AI Meeting Minutes Generator solves this by: Accepting inputs in multiple formats: transcripts, audio recordings, or video links. Using speech‑to‑text and NLP to automatically generate concise meeting summaries. Extracting action items with owners and deadlines for accountability. Displaying results in a minimalistic, professional dashboard with sections for summaries, tasks, and follow‑ups. Optional integrations with calendar and communication tools for seamless workflow.

💻 Online Hackathon | ⏳ Build: 48 hours | 📅 September 25–27, 2026 The official IBM Bob 2.0 hackathon. Build what's next in AI-assisted development, alongside the developers and experts shaping it. ⭐ Get help from experts throughout the event 🤝 Join a team or build solo 💰 Prize pool: $12,000 🧑🏻‍💻 Register before the Kick-Off Stream to start building with Bob

🌎 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.

To participate in the hackathon, simply click Sign up with AMD. If you are not already a member of the AMD AI Developer Program (ADP), you will need to create an account. ADP members can access AI tutorials, experts, and community support. In addition, new members can claim a free month of DeepLearning.ai pro, $100 in AMD GPU cloud credits, and $50 in Fireworks AI API credits. All hackathon participants will receive on hackathon launch additional compute and API credits for their projects. Ready to build what's next on AMD? Sign up with AMD below to secure your spot.