World Congress 2025 Aug 20, 2025 Session details

30 powerful AWS hacks in just 30 minutes: Boost your developer productivity

Modood Alvi

Still wasting time on manual AWS console clicks? Master 30 rapid-fire hacks utilizing AI agents and MCP servers to drastically accelerate your entire development lifecycle.

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#1 about 2 min

Discovering AWS services with conversational developer tools

How to query AWS documentation and service specifications directly from local IDEs using an MCP server.

#2 about 2 min

Generating cloud architecture diagrams through code

Using diagram generation servers to automate the creation of architecture visuals and underlying code.

#3 about 2 min

Estimating architectural costs prior to cloud deployment

How cost analysis modules project potential platform expenses based on intended infrastructural plans.

#4 about 1 min

Discovering and expanding AWS service quotas

Using service quota APIs to identify and increase account limitations to support deployment requirements.

#5 about 2 min

Accelerating project bootstrapping and feature development

How modern developer assistants generate complete platform boilerplate and iterate on complex software capabilities.

#6 about 2 min

Executing traditional web frameworks inside serverless environments

Using lambda web adapters to run standard application servers seamlessly on distributed infrastructure.

#7 about 1 min

Automating vulnerability scanning via CI/CD pipelines

Integrating the automated security helper to locate infrastructure vulnerabilities natively during regular development.

#8 about 2 min

Building autonomous functions with conversational agent frameworks

How open-source orchestration models streamline creating functional logic flows that invoke customized tools.

#9 about 1 min

Debugging cloud permissions using IAM policy simulators

How to quickly pinpoint denial rules and configuration flaws within complex access management policies.

#10 about 2 min

Automating comprehensive project documentation from repositories

Using generation pipelines to parse structural context and safely output complete technical wikis.

#11 about 1 min

Decoding opaque legacy code configurations contextually

Leveraging AI prompts to explain individual functions and logic while maintaining full repository understanding.

#12 about 2 min

Embedding deep observability into serverless operations seamlessly

How framework power tools drastically curtail the code complexity needed for distributed traces and metrics.

#13 about 1 min

Routing API requests to alternative foundational models

Using bedrock access gateways to swap generative integrations transparently by proxying standardized protocols.

#14 about 2 min

Validating risky service requests safely via dry runs

Appending simulation metadata parameters to validate API calls across critical resources before committing execution.

#15 about 1 min

Exposing standalone serverless capabilities as integrated tools

Integrating precise individual functions as direct prompt-driven actions inside existing developer interfaces.

#16 about 2 min

Configuring precise resource access controls natively

Offloading fine-grained authorization capability checks from primary application code directly into explicit verification services.

#17 about 3 min

Executing and evaluating distributed serverless stacks offline

Simulating critical orchestration systems locally drastically shortens waiting loops and boosts verification speeds.

#18 about 1 min

Validating data processing architectures via containerized events

Executing serverless big data frameworks and handler logic robustly using isolated simulation endpoints.

#19 about 1 min

Synthesizing structured relational mock datasets dynamically

Using context generation endpoints to build schema-compliant transaction entities across large test cycles.

#20 about 1 min

Executing infrastructure as code templates conversationally

Compiling and applying deployment definitions remotely via targeted prompt-driven developer frameworks.

#21 about 1 min

Interrogating cloud database contexts directly via conversational queries

Utilizing dedicated data-access services to safely retrieve transactional records directly into development command lines.

#22 about 1 min

Investigating anomalous operational metric logs directly and securely

Leveraging diagnostic intelligence toolkits to query operational telemetry logic and resolve emergent platform discrepancies.

#23 about 1 min

Analyzing specific infrastructural cloud cost usage inconsistencies

Using cloud expenditure APIs to systematically investigate precisely why monthly scaling operations encountered pricing shifts.

#24 about 1 min

Visualizing key-value database schema implementations comprehensively

Harnessing workbench visualizers to organize and validate database partition structures before introducing demanding production workloads.

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