# AWS Lambda Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/aws-lambda
> Markdown URL: https://aitinkerers.org/technologies/aws-lambda.md
> Technology record last updated: 2026-09-18T15:13:39Z
> Generated: 2026-09-23T02:32:38Z

AWS Lambda is the premier serverless, event-driven compute service: Run code in response to triggers without provisioning or managing any infrastructure.

Lambda delivers a true serverless experience, executing your code only when needed and scaling automatically from zero to thousands of requests per second (RPS). You pay only for the compute time consumed, measured in millisecond increments, making it highly cost-efficient. The service is event-driven; functions (code blocks) are invoked by triggers from over 200 AWS services, including Amazon S3 for file uploads, Amazon DynamoDB for database changes, and Amazon API Gateway for web backends. Lambda supports multiple runtimes (e.g., Node.js, Python, Java, Go) and manages all underlying resources: OS patching, capacity provisioning, and logging. This allows developers to focus exclusively on application logic, accelerating deployment cycles and reducing operational overhead.

- Official technology site: https://aws.amazon.com/lambda/
- Public AI Tinkerers demos and talks: 14
- Result page: 1 of 1

## Recent Public Talks and Demos

### [From idea to production in one loop: how a PM, a data bot and a coding agent ship at Fasset.](https://lahore.aitinkerers.org/talks/rsvp_c7poPoSKGUM)

Fasset is a global stablecoin backed neobank which gives access to digital banking and wealth building tools. It serves the freelancer, remote workers many of them are young professionals in Pakistan. This demo will be a product manager's view of how an idea reaches production with AI at every step, in three demos: prototype first (the team builds clickable prototypes with Claude instead of writing PRDs); decide with data (Dasset, an internal Slack bot that answers plain-English questions against a governed warehouse layer); and ship (Fasset Harness, a Claude Code plugin that makes coding agents work from human-reviewed test trees).

- Event context: AI Tinkerers Lahore: September 19, 2026 — 2026-09-19 — Lahore
- Public talk page: https://lahore.aitinkerers.org/talks/rsvp_c7poPoSKGUM

### [Orchestrating Intelligence - Designing Agentic AI Systems](https://tiruchirappalli.aitinkerers.org/talks/rsvp_2xofhYVe5Ns)

I built SoilAI, a browser-based tool that turns any latitude/longitude into a live soil and crop-health snapshot — pulling real Sentinel-2 satellite imagery through Google Earth Engine and rendering NDVI (vegetation health), bare soil, and true-color views in seconds, no GIS software required. It runs as a serverless function on Vercel, so it's just a web page: type in coordinates, pick a layer, and it fetches and displays that location's most recent usable satellite pass with its image date and cloud cover shown. Live, I'll pull up the tool, enter coordinates for a real field, and walk through switching between the three analysis layers in real time — showing exactly what a farmer, an FPO, or a consultant like me sees when checking a field remotely instead of driving out to it.

- Event context: AI Tinkerers Tiruchirappalli: Agentic AI Builders Meetup — 2026-08-29 — Tiruchirappalli
- Public talk page: https://tiruchirappalli.aitinkerers.org/talks/rsvp_2xofhYVe5Ns

### [Create Your Own DeepSeek Moment](https://nyc.aitinkerers.org/talks/rsvp_UswbXaI7O_0)

I built an autonomous loop that tests and proves small models (finetuned in some cases) can replace large ones on real traffic before safely rerouting to them. Live I'll show the decision engine choosing which work to optimize, fine-tuning candidate models, clustering traffic to anonymize data, and if time allows examples of a small model beating a large one on specialized work, an eval that fails and keeps the large model live, and the prove-gate thresholds that make it production-safe.

- Event context: August Demo Day ft Runpod, Veris, Openrouter, — 2026-08-19 — New York City
- Public talk page: https://nyc.aitinkerers.org/talks/rsvp_UswbXaI7O_0

### [0 Stars, 10/10: A Multi-Agent Pipeline That Makes a Podcast Every Week](https://dc.aitinkerers.org/talks/rsvp_VuQRBz6hhMM)

A closed-loop multi-agent system on AWS that produces a comedy podcast every week without human involvement. Seven agents orchestrated by Step Functions discover underrated GitHub projects, research the developers, write a three-persona comedy script, evaluate it against a quality rubric (with automatic rewrites on failure), generate cover art, produce audio, and publish the episode. Three AI personas debate each project: an overly optimistic hype beast, a dry British cynic, and an existential philosopher. The pipeline learns from its own LinkedIn engagement metrics to bias future episode selection toward what actually performs well. I'll play the first episode and walk through the agent coordination that produced it.

- Event context: AI Tinkerers x Softengi - DC Metro Meetup - April 9th, 2026 — 2026-04-09 — DC
- Public talk page: https://dc.aitinkerers.org/talks/rsvp_VuQRBz6hhMM

### [Clawber.ai - Agentic Battle Arena](https://seattle.aitinkerers.org/talks/rsvp_v9frcFVTu5g)

Clawber.ai is a battle royale arena for AI agents, modeled after Moltbook (Reddit for agents). Agents built with OpenClaw or other AI agents write JavaScript to control bots and compete in automated ladder matches running 24/7. Agents self-register via API and submit bot code that runs sandboxed on AWS Lambda. Human operators verify ownership by tweeting a claim code, generating organic mentions with every signup. Humans can stay in the loop throughout, able to influence bot strategy and watch matches live. ELO-based rankings track performance over time, making Clawber a real-world benchmark for comparing strategic reasoning and coding capabilities across agent frameworks.

- Event context: AI Tinkerers Seattle: GTM Engineering Kickoff — Building AI for Growth — 2026-02-26 — Seattle
- Public talk page: https://seattle.aitinkerers.org/talks/rsvp_v9frcFVTu5g

### [The Black Box Problem: Making AI Agent Decisions Observable](https://seattle.aitinkerers.org/talks/rsvp_kjp5h9C3mjQ)

When AI agents write code, you need verification beyond "it compiled." The tool is an AST-patching instrumentation framework that captures execution traces from AI agents (Claude Code, Cursor, Aider, GPT-OSS, etc.) generating real code changes.

- Event context: AI Tinkerers Seattle Meetup: Dev Tools Track — December 8, 2025 — 2025-12-09 — Seattle
- Public talk page: https://seattle.aitinkerers.org/talks/rsvp_kjp5h9C3mjQ

### [Building a Multi-Agent Systems for Real-World Business problems](https://nashville.aitinkerers.org/talks/rsvp_l8g7yHvZZCI)

This talk will demonstrate how to design, build, and deploy a practical multi-agent system to automate and optimize sales and marketing lead generation and evaluating user generating content. We'll move beyond theoretical concepts to address a critical business problems with actionable AI agent solutions. We'll begin by reverse-engineering the human process of identifying and qualifying leads, pinpointing the critical decision points and information gathering tasks. This analysis will guide us in defining the specific roles, responsibilities, and collaborative workflows for our AI agents. Using frameworks like crewAI and PocketFlow, we'll dive into the practical aspects of building these agents: - Defining agentic tasks and tools. - Crafting effective system and user prompts for complex, multi-step operations. - Distinguishing between simple Python/Rust automation and true agentic orchestration that adapts and strategizes. Finally, we'll cover the essential steps for real-world deployment, including containerization on AWS and robust monitoring strategies leveraging tracing tools to provide crucial operational insights for developers. Attendees will leave with a clear blueprint for applying multi-agent AI to solve tangible business challenges.

- Event context: AI Tinkerers Nashville – October 28th, 2025 — 2025-10-28 — Nashville
- Public talk page: https://nashville.aitinkerers.org/talks/rsvp_l8g7yHvZZCI

### [AI Professional Network Builder](https://hong-kong.aitinkerers.org/talks/rsvp_7r5C0zv1pcs)

In this demo, I will go through the product itself, solution architecture, and lesson learnt from vibe coding a product, below are some background info of the demonstrated product: Business Card Scanner: Digitize and Analyze Your Professional Network with AI The Business Card Scanner is a web application that transforms physical business cards into organized digital contacts using AI-powered text extraction and analysis. It helps professionals efficiently manage their network by automatically extracting contact information, categorizing companies by industry, and providing network intelligence through interactive visualizations.

- Event context: AI Tinkerers Hong Kong with AWS Meetup — September 29, 2025 — 2025-09-29 — Hong Kong
- Public talk page: https://hong-kong.aitinkerers.org/talks/rsvp_7r5C0zv1pcs

### [Generating custom AI workflows](https://dublin.aitinkerers.org/talks/rsvp_03JUI-YtPrE)

In this technical presentation I'll show how coso.ai leverages LLM's to to generate custom AI workflows.

- Event context: AI Tinkerers Dublin Anniversary Meetup — September 10, 2025 — 2025-09-10 — Dublin
- Public talk page: https://dublin.aitinkerers.org/talks/rsvp_03JUI-YtPrE

### [Building an Full-stack TypeScript AI Agent on Cloudflare Agent SDK](https://singapore.aitinkerers.org/talks/rsvp_RmiO67RiRFQ)

A live demo + code walkthrough of a custom AI agent built entirely in TypeScript, from frontend and backend to agent + infra. This is an AI agent that does basic research of a GitHub profile. I will walk through the problems with managing state in AI agents, why current solutions fall short and why Cloudflare Agent SDK occupies a unique position. I will showcase the tech stack, how the application works, and the cool features (end-to-end typesafety + shared code) enabled as a result.

- Event context: AI Tinkerers Singapore: 6th Meetup - April 25th, 2025 — 2025-04-25 — Singapore
- Public talk page: https://singapore.aitinkerers.org/talks/rsvp_RmiO67RiRFQ

### [Vibe Coding + Coursera: Building My AI Edtech Platform and making revenue](https://seattle.aitinkerers.org/talks/rsvp_Pfg2txvsLtk)

In this demo, I’ll share how I used “vibe coding” to rapidly prototype an AI EdTech platform and how Coursera’s backend data structures, algorithms, and architecture design courses equipped me with the debugging and production skills needed to gain users and generate revenue. I’ll also discuss my journey from a non-developer to a vibe coder—showing how I leveraged cursor to build my product as a solo founder and launch it successfully within just two months. Especially I will show why this is the best time to learn software engineering;

- Event context: AI Tinkerers Seattle - March Meetup — 2025-03-28 — Seattle
- Public talk page: https://seattle.aitinkerers.org/talks/rsvp_Pfg2txvsLtk

### [Enhancing GenAI to take real-world actions with Amazon Bedrock agents & Powertools](https://dubai.aitinkerers.org/talks/rsvp_3HOtj7mSLyc)

This presentation demonstrates how to combine the reasoning capabilities of Bedrock with custom business logic, allowing LLMs to interact with your systems and execute real-world tasks." We will demonstrate a fictional helpdesk chatbot that not just helps in resolving user issues, but can also interact with third party services to allow it to create and update tickets. Using Bedrock and Lambda we demonstrate how you can build simple integrations without deploying any infrastructure. In addition, we will give an overview of the Lambda powertools event handler to automatically generate OpenAPI schemas and abstract request routing to simplify agent group configuration. "Discover how to extend the capabilities of Foundation Models beyond content generation by enabling them to perform concrete actions through Amazon Bedrock Agents. This presentation demonstrates how to combine the reasoning capabilities of Large Language Models with custom business logic, allowing AI to interact with your systems and execute real-world tasks."

- Event context: AI Tinkerers - Dubai Meetup #5 (February) — 2025-02-05 — Dubai
- Public talk page: https://dubai.aitinkerers.org/talks/rsvp_3HOtj7mSLyc

### [AutoML Agent: Automating ML Code Generation](https://toronto.aitinkerers.org/talks/rsvp_D5m-tfkILPA)

This demo will showcase a custom proof of concept AI Agent that autonomously generates and executes Python code to find the best machine learning model for a given problem. Built from scratch this agent addresses limitations common in agentic frameworks like Langchain or CrewAI, providing enhanced flexibility and control for production-grade applications. 1. Live Demo We'll begin with a live Colab notebook demo, which attendees can access to try the application during the presentation or later. Built entirely in Python with open-source libraries and LLMs, this demo enables hands-on participation. 2. Key Components We’ll then walk through the application’s architecture, covering: State Management: Using the transitions library, we manage the state machine workflow to handle tasks such as entity extraction, code generation, error handling, and re-execution, ensuring modular and resilient task transitions. Open-Source LLM: We use an open source Phi 3.5 model for core tasks like code generation, entity extraction, and error management, demonstrating the capabilities of open-source LLMs for AutoML. 3. Production Architecture Overview Finally, a production-ready architecture, visualized on Miro, demonstrates an end-to-end production solution on AWS, including: Frontend and API Layer: Allowing user interaction through a secure, scalable API and frontend interface. Load Balancing and Model Deployment: AWS Lambda with load balancing optimize for scalable, responsive model deployment. Security: VPCs, and user verification via AWS Cognito ensure controlled access and data security. Logging and Monitoring: Model monitoring and tracing via MLFLow on AWS Sagemaker.

- Event context: AI Tinkerers Toronto - November 2024 Meetup at Accenture — 2024-11-28 — Toronto
- Public talk page: https://toronto.aitinkerers.org/talks/rsvp_D5m-tfkILPA

### [RAG Copilot: Big Data-powered solutions for rapid Information extraction](https://medellin.aitinkerers.org/talks/rsvp_1rdidJ3owc8)

Solution for Automatic Content Extraction from Large Data Volumes Using a RAG (Retrieval Augmented Generation) Model and AWS Serverless Architecture with a MapReduce Approach

- Event context: Lanzamiento de AI Tinkerers #1 — 2024-04-25 — Medellín
- Public talk page: https://medellin.aitinkerers.org/talks/rsvp_1rdidJ3owc8

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