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World Congress 2025 • Aug 20, 2025 • Session details

How we built an AI-powered code reviewer in 80 hours

Yan Cui

Integrating AI is only 10% of building a production-ready code reviewer. Discover how defensive AWS serverless architecture actually tames context limits, rate caps, and expensive hallucinations.

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#1 about 3 min

Overview of the AI-powered serverless code reviewer

A demonstration of how the tool scans pull requests to identify security risks and anti-patterns.

#2 about 3 min

High-level architecture for serverless event processing

How GitHub webhooks, EventBridge, Lambda, and AppSync coordinate to handle pull request analysis.

#3 about 5 min

Securing customer source code with Amazon Bedrock

Why privacy guarantees and serverless token-based pricing drove the choice of Bedrock over direct model APIs.

#4 about 3 min

Managing timeouts and limits with async invocations

How handling large pull requests requires durable retries and strict concurrency limits to avoid Lambda timeouts.

#5 about 3 min

Context window limitations in large language models

Why large context windows excel at recall but fail at complex reasoning beyond limited token counts.

#6 about 3 min

Working around API rate limits and model outages

Strategies for maximizing throughput using cross-region inference and managing reliability via fallback provider APIs.

#7 about 3 min

Controlling the high infrastructural costs of AI code analysis

How exclusively scanning changed code lines enables a financially sustainable model for customer AI usage.

#8 about 4 min

Implementing durable execution with local checkpoints

Using a DynamoDB-based idempotency pattern instead of Step Functions while running static analysis parallel to LLM calls.

#9 about 5 min

Handling hallucinations in formatted JSON and code structures

Why LLMs generate imaginary line numbers or outdated fixes and how retrieval constraints impact reliability.

Matching moments

1:55 min

Shifting developer workloads and realistic AI productivity gains

Chris Heilmann +2 · LIVE

6:53 min

Reviewing recent technology and AI tool headlines

Chris Heilmann +1 · LIVE

1:56 min

Analyzing cloud-based AI code completion architectures

Daniel Savenkov Daniel Savenkov · World Congress 2024

4:15 min

Security integration and AI skepticism in developer tooling

Chris Heilmann +2 · LIVE

1:58 min

Managing overwhelming artificial intelligence pull requests in open source

Chris Heilmann +2 · LIVE

4:11 min

Filtering AI code generations and automating pull request reviews

Kevin Lewis Kevin Lewis · World Congress 2025

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