GitContext — RAG (Retrieval-Augmented Generation)
Index code, docs, and design notes from a Git repository, then build a retrieval layer that provides precise, source-linked answers to developer queries.
Explore project →Projects
5 Best AI Projects to Master AI
These five practical projects cover core areas of modern AI infrastructure and applications. Each project is designed to teach an important pattern and give you code and architectur[...]
ActionGraph — LLM-based workflow planner
Map natural-language instructions into structured action graphs and executable plans, integrating planners, validators, and executors.
Explore project →ResolveAI — Collaborative AI Agents
Build agents that coordinate across tools and services to complete multi-step tasks reliably, with context management and recovery.
Explore project →AgentShield — GuardRails for agents
Design runtime guardrails, policy enforcement, and monitoring to keep autonomous agents safe, auditable, and compliant.
Explore project →ModelRoute — Fine-tuning & routing
Create a pipeline for fine-tuning models on domain data and routing requests to the best model based on cost, latency, and accuracy.
Explore project →Production Deployment Explained
This is how big tech companies push code to production explained under 60 seconds. It all starts with a product manager creating user stories in Jira that explain what we're building and why — this is where requirements are defined. Engineers take those stories and start coding, commit changes to the GitHub repo, and merge them at the end of the sprint. CI tools like Jenkins, GitLab CI, and SonarQube automatically build the code, run unit tests, and perform quality checks. The code is packaged into Docker containers for consistent environments. QA tests in the dev environment to catch bugs, then features are deployed to staging/UAT for user acceptance testing. Finally, production rollout uses techniques like canary deployments, A/B testing, or feature flags while site reliability engineers monitor performance and respond to issues. The feature is now live for users — that’s generally how features reach your device.