# Django Projects at AI Tinkerers > Canonical HTML: https://aitinkerers.org/technologies/django > Markdown URL: https://aitinkerers.org/technologies/django.md > Technology record last updated: 2026-09-18T15:13:39Z > Generated: 2026-09-20T17:35:54Z Django is the 'batteries included' Python web framework: high-level, secure, and engineered for rapid, pragmatic development. Django is a high-level Python web framework, built on the 'Don't Repeat Yourself' (DRY) principle, designed to expedite the creation of complex, database-driven applications. It ships with a comprehensive suite of components out-of-the-box: a powerful Object-Relational Mapper (ORM), a robust authentication system, URL routing, and a dynamic, automated admin interface (CRUD operations). This integrated approach minimizes boilerplate code and development time, which is why major platforms like Instagram, Mozilla, and Disqus trust Django for scalable, secure web services. - Official technology site: https://www.djangoproject.com/ - Public AI Tinkerers demos and talks: 15 - Result page: 1 of 1 ## Recent Public Talks and Demos ### [Towerwatch: Real-Time Threat Monitoring & Security Operations](https://mombasa.aitinkerers.org/talks/rsvp_qOJvNRRLbek) A live architecture breakdown of real-time threat monitoring dashboards for system logging, alerting, and automated security event tracking. - Event context: AI Tinkerers – Mombasa Chapter Launch · 22 August 2026 — 2026-08-22 — Mombasa - Public talk page: https://mombasa.aitinkerers.org/talks/rsvp_qOJvNRRLbek ### [Wireless Intelligence](https://manizales.aitinkerers.org/talks/rsvp_5fU_jY0MJDY) Wintelligence is a Python/Django web application designed to scan the local wireless spectrum, log nearby networks, and audit their security configurations. It flags weak configurations (such as WEP, Open networks, and legacy WPA) and displays results in an interactive, responsive web interface. - Event context: 🚀 ¡18vo Encuentro de AI Tinkerers Manizales! 🤖 — 2026-07-28 — Manizales - Public talk page: https://manizales.aitinkerers.org/talks/rsvp_5fU_jY0MJDY ### [AI Boost - a context sharing system](https://valencia.aitinkerers.org/talks/rsvp_Zd-yr9DNsxM) AI Boost is a context sharing MCP that allows repeatedly used context to be easily searched for and added to the LLM - Event context: AI Tinkerers Valencia July Demo Night — 2026-07-28 — Valencia - Public talk page: https://valencia.aitinkerers.org/talks/rsvp_Zd-yr9DNsxM ### [FuzzyClaw](https://cologne.aitinkerers.org/talks/rsvp_71A8QTW9ocg) FuzzyClaw is an agent orchestration platform that turns markdown briefings into coordinated multi-agent work. A coordinator agent interprets the briefing, dispatches specialist agents running in isolated Docker containers, and routes their outputs into PostgreSQL, where they can be reviewed through a Django dashboard. Agents, the coordinator, and the human operator communicate in real time via a Redis-backed message board. The project is written in Python and draws inspiration from Steinberg’s OpenClaw and Qwibit.ai’s nanoclaw, with a strong focus on visibility, control, and practical day-to-day use. - Event context: AI Tinkerers Cologne 4: Live Technical Demos — 2026-04-16 — Cologne - Public talk page: https://cologne.aitinkerers.org/talks/rsvp_71A8QTW9ocg ### [The IDE is Dead. Vulcan Ships Our Code Now.](https://london.aitinkerers.org/talks/rsvp_lcPJx56YCAU) Vulcan is an autonomous AI dev system we built at a stealth startup. It orchestrates Claude Code agents on Mac Minis to execute parallelizable development plans, create PRs, and autonomously fix its own CI failures. We haven't opened an IDE in months. I'll walk through: the plan/phase architecture with dependency graphs for concurrent Claude instances, the worker daemon that spawns and manages Claude Code subprocesses, the self-healing CI loop (including BFS-based loop detection to stop infinite fixes), and how MCP tools let Claude manage its own PR lifecycle through our Django backend. Live demo: submitting a plan, workers claiming phases, CI breaking, and Vulcan fixing itself. - Event context: AI Tinkerers London - 2nd March featuring AMA with Tom Occhino, CPO at Vercel — 2026-03-02 — London - Public talk page: https://london.aitinkerers.org/talks/rsvp_lcPJx56YCAU ### [Breaking free from the chat box](https://valencia.aitinkerers.org/talks/rsvp_CUsWcGBWN20) AI has the potential to be far more powerful than a simple chat interface. Applications are already starting to be appear that do this, but how can we take it to the next level? At Legala, the application needs to enable the user to enter complex information in a structured way. A dynamic interface driven by interaction with an AI agent can enable this. The demo will cover the cycle of response to a user message, include user intent inference, mode switching, tool use, and dynamic UI generation and presentation. - Event context: AI Tinkerers Valencia February Meetup — 2026-02-17 — Valencia - Public talk page: https://valencia.aitinkerers.org/talks/rsvp_CUsWcGBWN20 ### [DISAADE](https://conakry.aitinkerers.org/talks/rsvp_e_NuJRZQs6Q) DISAADE — Là où la technologie rencontre l’amour de la vie. Couveuse néonatale intelligente connectée, conçue en Guinée pour protéger les bébés prématurés. Protéger les plus fragiles, accompagner les mamans, aider les médecins. - Event context: AI Tinkerers – Conakry: Inaugural AI Conference @ Afrinov Tech Expo — 2026-02-11 — Conakry - Public talk page: https://conakry.aitinkerers.org/talks/rsvp_e_NuJRZQs6Q ### [SmarTrack](https://conakry.aitinkerers.org/talks/rsvp_pu0UjJawKQc) SmarTrack Élevage - SmarTrack est une solution technologique innovante conçue pour répondre aux défis majeurs de l’élevage en Afrique, en particulier en Guinée. Le projet consiste en un collier intelligent connecté destiné aux animaux d’élevage (bovins, ovins, caprins, etc.), combinant géolocalisation GPS, suivi de la santé animale et géofencing. - Event context: AI Tinkerers – Conakry: Inaugural AI Conference @ Afrinov Tech Expo — 2026-02-11 — Conakry - Public talk page: https://conakry.aitinkerers.org/talks/rsvp_pu0UjJawKQc ### [Rapidly building a data science app using code gen](https://boston.aitinkerers.org/talks/rsvp_neqOxJIq74k) How I built a relatively complex, chart-heavy data science app in less than two weeks from scratch using code gen. This was my first foray into rapid prototype using generation and there were a lot of learnings. - Event context: AI Tinkerers Boston Meetup November 2025 — 2025-11-17 — Boston - Public talk page: https://boston.aitinkerers.org/talks/rsvp_neqOxJIq74k ### [Blueprints, re-imagined](https://cologne.aitinkerers.org/talks/rsvp_stwBaO458Iw) I will show how we are building a gen AI-based tool that can read a process flow diagram of a chemical factory and generate a rigorous process description. Explaining the background + showing code + doing a live demo should take about 10 minutes, shorter also possible but maybe less useful... - Event context: AI Tinkerers Cologne – Inaugural Meetup — 2025-11-05 — Cologne - Public talk page: https://cologne.aitinkerers.org/talks/rsvp_stwBaO458Iw ### [Turning Spreadsheets AI Native](https://london.aitinkerers.org/talks/rsvp_M86M8841Uus) I will be presenting a spreadsheet application with AI native features. Think of it like if Lovable and Excel had a baby. The demo will revolve around creating financials depicting if the business models of Lovable and Cursor can sustain over time with unlimited messages. - Event context: AI Tinkerers x MongoDB - Demopalooza — 2025-10-07 — London - Public talk page: https://london.aitinkerers.org/talks/rsvp_M86M8841Uus ### [Search for healthcare the right way near you](https://atlanta.aitinkerers.org/talks/rsvp_DXfAbLyHnjs) Can an LLM help find healthcare options in Atlanta that cover your insurance? - Event context: 1 Year Anniversary Meetup — 2025-07-31 — Atlanta - Public talk page: https://atlanta.aitinkerers.org/talks/rsvp_DXfAbLyHnjs ### [SlateFront AI: A new way to learn with AI, visually.](https://abu-dhabi.aitinkerers.org/talks/rsvp_GkYfScCkcU0) SlateFront is an AI-powered tool that generates mathematical animations and full explainer videos for math and physics concepts instantly, from just text or drawings. - Event context: AI Tinkerers - Abu Dhabi Meetup #4 (May 2025) — 2025-05-22 — Abu Dhabi - Public talk page: https://abu-dhabi.aitinkerers.org/talks/rsvp_GkYfScCkcU0 ### [AI-first Clinical Information System](https://singapore.aitinkerers.org/talks/rsvp_pem0gXbq6u0) We are building an AI-first Unified Healthcare Information System designed to fix the core inefficiencies plaguing modern healthcare. Today’s medical institutions rely on fragmented, outdated software that traps critical information in disconnected silos. This leads to doctor burnout, lost revenue, and missed opportunities for better care. Our system solves this by unifying medical databases and modules into a seamless, all-in-one platform—the way Palantir unified battlefield intelligence for the U.S. Army, we’re doing the same for hospitals and clinics. No more system-switching or duplicated workflows—just clean, integrated operations. In addition, we’re deploying AI automation across clinical documentation (e.g., referral letters), reducing paperwork and freeing up doctors to see more patients. Trials have already shown increased satisfaction for 85% of patients, lower burnout, and up to 80% ROI for clinics. But we’re going even further: we’re preparing for AI-first clinical care, where AI drafts diagnoses and treatment plans, and doctors act as validators. This model, already live in regulatory sandboxes like Saudi Arabia (e.g., Synyi.ai), promises more accurate care and scalable efficiency. - Event context: AI Tinkerers Singapore: May Meetup - May 21st, 2025 — 2025-05-21 — Singapore - Public talk page: https://singapore.aitinkerers.org/talks/rsvp_pem0gXbq6u0 ### [How great context selection leveled up Bismuth](https://sf.aitinkerers.org/talks/rsvp_RKZ7c8Zh1PE) Bismuth is a coding agent that works right in your terminal. It can build projects from scratch, or work in well established projects to help boost productivity. Bismuth is able to automatically select the right context from projects (even some of the largest open source projects like Django), discover and run build commands on its own and complete development tasks without human interaction. The demo will be a live running of our project and talk through what is happening step by step as things run live, no slides! We plan to demo the file selection step, the code symbol selection step, how both of those steps seed our graph rag system for larger projects in our pipeline and how this all needs to come together to select the right file context for an agent to be able to implement a user's change request for a large open source project like Django so people can get a feel for the steps needed to search and build context for coding agents tackling large code projects. The audience will see visually our agent working on a system, side by side with the live backend logs showing all of these steps executing, including files selected, symbols selected, results from our rag system and then the execution and updates on the open source project with the ultimate result being a patch that applies the actual changes we're going to ask it to make for the demo. Then we'll switch to our project and dive in to the specific implementation code in our IDE for each step to understand what design considerations we had to make to make that all happen. This includes considerations like, what model are we using to vectorize the code, what libraries are we using the build our graph rag system since it is all homegrown, were there any optimization issues we ran into (spoilers there were) and explaining wow are we doing all of our code analysis and how much of it is custom knowledge versus how far can you get off the shelf and what tools we can suggest their like TreeSitter. This demo will include how we handle Bismuth's context selection which includes a bunch of custom code parsing, file selection, AST breakdown and code symbol selection. This is a key piece of coding agents which all begin with selecting the right context based on the users request. - Event context: AI Tinkerers - San Francisco - November 2024 Meetup - Securing Agentic Systems — 2024-11-22 — San Francisco - Public talk page: https://sf.aitinkerers.org/talks/rsvp_RKZ7c8Zh1PE ## Related Technologies - [Python](https://aitinkerers.org/technologies/python) ([Markdown](https://aitinkerers.org/technologies/python.md)) — 662 public demos - [PostgreSQL](https://aitinkerers.org/technologies/postgresql) ([Markdown](https://aitinkerers.org/technologies/postgresql.md)) — 105 public demos - [Claude](https://aitinkerers.org/technologies/claude) ([Markdown](https://aitinkerers.org/technologies/claude.md)) — 173 public demos - [GPT-5](https://aitinkerers.org/technologies/gpt-5) ([Markdown](https://aitinkerers.org/technologies/gpt-5.md)) — 30 public demos - [MCP](https://aitinkerers.org/technologies/mcp) ([Markdown](https://aitinkerers.org/technologies/mcp.md)) — 129 public demos - [React](https://aitinkerers.org/technologies/react) ([Markdown](https://aitinkerers.org/technologies/react.md)) — 219 public demos - [Airflow](https://aitinkerers.org/technologies/airflow) ([Markdown](https://aitinkerers.org/technologies/airflow.md)) — 1 public demo - [Bokeh](https://aitinkerers.org/technologies/bokeh) ([Markdown](https://aitinkerers.org/technologies/bokeh.md)) — 1 public demo - [Celery](https://aitinkerers.org/technologies/celery) ([Markdown](https://aitinkerers.org/technologies/celery.md)) — 4 public demos - [ChatGPT](https://aitinkerers.org/technologies/chatgpt) ([Markdown](https://aitinkerers.org/technologies/chatgpt.md)) — 83 public demos - [Claude-3](https://aitinkerers.org/technologies/claude-3) ([Markdown](https://aitinkerers.org/technologies/claude-3.md)) — 110 public demos - [Claude Code](https://aitinkerers.org/technologies/claude-code) ([Markdown](https://aitinkerers.org/technologies/claude-code.md)) — 214 public demos - [Claude Code SDK](https://aitinkerers.org/technologies/claude-code-sdk) ([Markdown](https://aitinkerers.org/technologies/claude-code-sdk.md)) — 7 public demos - [Claude Opus](https://aitinkerers.org/technologies/claude-opus) ([Markdown](https://aitinkerers.org/technologies/claude-opus.md)) — 18 public demos - [Cursor](https://aitinkerers.org/technologies/cursor) ([Markdown](https://aitinkerers.org/technologies/cursor.md)) — 65 public demos - [Docker](https://aitinkerers.org/technologies/docker) ([Markdown](https://aitinkerers.org/technologies/docker.md)) — 147 public demos - [Embeddings](https://aitinkerers.org/technologies/embeddings) ([Markdown](https://aitinkerers.org/technologies/embeddings.md)) — 22 public demos - [FastAPI](https://aitinkerers.org/technologies/fastapi) ([Markdown](https://aitinkerers.org/technologies/fastapi.md)) — 181 public demos