Most viewed

  1. Python Decorators Explained: From Simple Wrappers to Production Patterns31 views
  2. AI Agent Frameworks in 2025: LangGraph vs CrewAI vs AutoGen vs Raw API18 views
  3. REST API Design Best Practices: The Patterns That Make APIs a Joy to Use15 views
  4. Java Virtual Threads vs Traditional Threads: What Nobody Tells You15 views
  5. Agentic Git Workflows: Atomic Commits From Noisy LLM Diffs14 views

Newly added

  1. AWS IAM Access Analyzer: Find Over-Privileged Coding-Agent Roles Before They Leak
  2. Amazon CloudWatch Application Signals: SLOs and Traces for Multi-Hop Coding-Agent Tools
  3. AWS Config Conformance Packs: Continuous Compliance Guards for Coding-Agent Accounts
  4. Amazon Bedrock Provisioned Throughput: Reserved Capacity for Coding-Agent Latency SLOs
  5. AWS Lambda Response Streaming: Stream Coding-Agent Tokens Without Buffering Full Completions

CheatCoders

Posted inAI AWS Debugging

AWS IAM Access Analyzer: Find Over-Privileged Coding-Agent Roles Before They Leak

Coding-agent tool roles accrete permissions until someone can s3:GetObject on every bucket "for RAG debugging." AWS IAM Access Analyzer finds unused privileges, external access, and policy issues before those roles leak into a credential incident. Distinct from GuardDuty (runtime threat) and Verified Permissions (app-level authZ): Access Analyzer is continuous IAM posture for the roles your agents assume.
Posted inAI AWS Debugging

Amazon CloudWatch Application Signals: SLOs and Traces for Multi-Hop Coding-Agent Tools

Multi-hop coding agents fail in the gaps between services: the planner was fine, the sandbox timed out, the RAG tool silently retried. Amazon CloudWatch Application Signals gives you service-level objectives, RED metrics, and trace correlation for those hops without hand-rolling a dozen custom dashboards. Distinct from raw Logs Insights spelunking and ad-hoc X-Ray alone: Application Signals standardizes SLOs and service maps for the agent tool graph.
Posted inAI AWS System Design

AWS Config Conformance Packs: Continuous Compliance Guards for Coding-Agent Accounts

Coding-agent accounts drift: public buckets for artifacts, wildcard IAM for "just one debug session," missing encryption on scratch queues. AWS Config Conformance Packs continuously evaluate packs of managed/custom rules and report noncompliance so you catch unsafe baselines before Security Hub becomes a ticket graveyard. Distinct from CloudFormation Hooks (block at deploy) and SCPs (org hard deny): Conformance Packs are continuous compliance telemetry + optional remediation across the agent account fleet.
Posted inAI AWS Machine Learning

Amazon Bedrock Provisioned Throughput: Reserved Capacity for Coding-Agent Latency SLOs

On-demand Bedrock is fine until your coding-agent P95 spikes during standup demos and CI review bursts. Amazon Bedrock Provisioned Throughput reserves model capacity so latency SLOs stop depending on the regional on-demand pool. Distinct from Intelligent Prompt Routing (which picks a model) and Model Evaluation (which scores outputs): Provisioned Throughput is about guaranteed capacity and predictable inference latency for the models you already chose.
Posted inAI AWS System Design

AWS Lambda Response Streaming: Stream Coding-Agent Tokens Without Buffering Full Completions

Buffering a full coding-agent completion before the client sees the first token adds seconds of perceived latency and blows Lambda's 6MB sync payload ceiling on long diffs. AWS Lambda response streaming (Function URL or InvokeWithResponseStream) lets you flush tokens and tool-progress events as they arrive — so the UI feels live without a separate WebSocket service. Pair with SnapStart for cold starts and Destinations for failed invokes; this post is about the response path, not orchestration.
Posted inAI AWS Debugging

AWS Fault Injection Service: Chaos-Test Coding-Agent Pipelines (Sandbox Kill, Latency, IAM Denials)

Coding-agent pipelines that only pass happy-path integration tests will fail the first time a sandbox dies mid-apply or IAM denies a tool call. AWS Fault Injection Service (FIS) runs controlled chaos — stop tasks, add latency, inject IAM denial scenarios — so you prove fail-closed behavior before customers do. Pair with GuardDuty/SCPs for real attacks and AppConfig kill switches for human-triggered stops.
Posted inAI AWS System Design

Amazon VPC Lattice: Service-to-Service Auth for Coding-Agent Tool Microservices

Coding-agent tool microservices scattered across VPCs and accounts need authenticated service-to-service calls without a spaghetti of ALB rules and hand-rolled mTLS. Amazon VPC Lattice gives you a service network, auth policies, and connectivity so the planner can invoke the linter, RAG, and sandbox runners with IAM-aware allow/deny — not open security groups. Distinct from PrivateLink-to-Bedrock: Lattice is for your own tool services talking to each other.
Posted inAI AWS Machine Learning

Amazon Bedrock Intelligent Prompt Routing: Auto-Route Coding-Agent Calls Across Models for Cost and Latency

Not every coding-agent call needs your most expensive foundation model. Amazon Bedrock Intelligent Prompt Routing automatically sends easy prompts to cheaper/faster models and hard ones to stronger models — cutting token spend and latency without hand-rolled classifiers. Distinct from Prompt Management versioning and Model Evaluation scoring: routing decides which model serves each request at inference time.
Posted inAI AWS System Design

AWS CloudFormation Hooks: Block Unsafe Infra Coding Agents Propose Before It Lands

Coding agents that emit CloudFormation or CDK will eventually propose a public S3 bucket, a wildcard IAM policy, or an unencrypted RDS instance. AWS CloudFormation Hooks evaluate those templates before resources are created or updated — so unsafe infra fails closed in the deploy path, not in a post-hoc Security Hub ticket. Pair Hooks with SCPs for org hard caps and GuardDuty for runtime detection.
Posted inAI AWS System Design

Amazon EventBridge Pipes: Wire DynamoDB Streams / SQS to Coding-Agent Tool Runners Without Glue Lambdas

You do not need a glue Lambda to fan DynamoDB Stream session events or SQS tool jobs into your coding-agent runners. Amazon EventBridge Pipes filters, enriches (optionally), and delivers straight to Step Functions, API Destinations, SQS, or ECS — so the stream-to-runner path stays declarative, fail-closed, and cheaper than another always-on mapper function. Distinct from our earlier Pipes→Lambda enrich pattern: here the target is the tool runner itself.