Update README.md

README.md

@@ -12,8 +12,7 @@ pinned: false
 
 **Hackathon Links:**
 - 🌌 **[Live Hugging Face Space](https://huggingface.co/spaces/shashaank0707/AgentDebugger-training-v3)** 
-- 📹 **[Watch the 2-Minute Demo](#)** *(Replace with YouTube Link)*
-- 📝 **[Read the Technical Writeup](#)** *(Replace with HF Blog Link)*
+- 📝 **[Read the Technical Writeup](https://huggingface.co/spaces/shashaank0707/AgentDebugger-training-v3/blob/main/Blog.md)** 
 
 ### 🚀 One-Line Pitch
 An OpenEnv-backed reinforcement learning environment that trains LLMs to debug code systematically via Group Relative Policy Optimization (GRPO) and secure sandbox execution.
@@ -50,7 +49,7 @@ LLMs often hallucinate bug fixes via blind trial-and-error. Real debugging in pr
 Our training run clearly demonstrates rapid policy adaptation. The model successfully learned the `OBSERVATION/HYPOTHESIS/ACTION` constraint almost instantly and navigated the tier-2 difficulty bump (step 150) with a textbook drop-and-recover curve.
 
 ## Training Results
-[W&B Run](https://wandb.ai/shashaankjain07-keshav-memorial-college-of-law/AgentDebuggerEnv/runs/vylbqd5m?nw=nwusershashaankjain07) | [HF Blog](#)
+[W&B Run](https://wandb.ai/shashaankjain07-keshav-memorial-college-of-law/AgentDebuggerEnv/runs/vylbqd5m?nw=nwusershashaankjain07) | [HF Blog](https://huggingface.co/spaces/shashaank0707/AgentDebugger-training-v3/blob/main/Blog.md)
 
 *(Note for Hackathon Judges: Live Weights & Biases charts and Gradio UI are embedded below as evidence of the training run).*
 
@@ -105,4 +104,4 @@ The easiest way to re-run the exact GRPO training pipeline is via our Jupyter No
 
 ### 👥 Team Endurance
 * **Shashaank Jain** | GitHub: [@shasshaank](https://github.com/shasshaank) | Email: *[shashaankjain07@gmail.com]*
-* **[Pranav Pulipati]** | GitHub: *[@PulipatiPranav](https://github.com/PulipatiPranav)* | Email: *[pranavpulipatix@gmail.com]*
+* **Pranav Pulipati** | GitHub: [@PulipatiPranav](https://github.com/PulipatiPranav) | Email: *[pranavpulipatix@gmail.com]*