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CheatCoders

SSM Parameter Store: Hierarchical Runtime Config for Coding Agents

Coding agents need hierarchical runtime config — model ids, tool timeouts, repo allowlists — per env and tenant, without redeploying Lambdas. SSM Parameter Store paths like /agents/{env}/{tenant}/tools/* with IAM prefix policies and SecureString pointers to Secrets Manager beat flat env vars. Contrast with AppConfig: flags/kill switches vs config trees.

AI AWS Machine Learning

Bedrock Prompt Flows: Visual Multi-Step Coding Pipelines You Can Version

Bedrock Prompt Flows (Flows) let you visually wire plan → retrieve → generate → validate coding pipelines with versioned nodes — without standing up ASL on day one. Know when Flows win for prompt iteration vs when Step Functions + Converse remain the production orchestrator for tool graphs, human approval, and long runs.

AI AWS Machine Learning

Athena + S3: Query Coding-Agent Eval Traces Without a Warehouse

Coding-agent eval traces (prompt version, pass/fail, latency, tokens, cost) pile up as JSONL. You do not need Snowflake on day one — land traces in S3, crawl or CTAS with Glue, and query pass rates and regressions with Athena SQL. Warehouse later if cardinality and joins demand it.

AI AWS System Design

AWS Batch: Overnight Long-Running Coding Agent Jobs Without Lambda Timeouts

Repo-wide migrations and multi-hour coding agent refactors do not fit Lambda's 15-minute ceiling or Step Functions Express's 5-minute cap. AWS Batch job definitions, queues, and spot vs on-demand compute give overnight agent runs with retries, fair-share scheduling, and clean separation from interactive tool Lambdas.

AI AWS Debugging

CloudWatch Logs Insights: Multi-Tenant Agent Tool Failure Forensics

Multi-tenant coding agents fail in silent clusters — one tenant's tool timeout looks like another tenant's Bedrock throttle in raw CloudWatch. Logs Insights queries with parse/filter/stats on tool name, tenant_id, latency, and error class turn Lambda log soup into forensics. Saved queries + optional Contributor Insights catch top offenders without a warehouse.

AI AWS System Design

API Gateway + WAF: Rate-Limit Public Coding Agent Endpoints

Public coding agent HTTP and WebSocket APIs get prompt-flooded and tool-abused without layered rate limits. Combine API Gateway usage plans with AWS WAF rate-based rules and Bot Control to protect quotas, Redis scratchpads, and downstream Bedrock/Lambda spend.

AI AWS System Design

AWS Verified Permissions: Cedar Policies That Authorize Agent Tools

Hardcoded tool allowlists and IAM-only checks leave coding agents over-privileged. AWS Verified Permissions with Cedar policies authorize tool name + tenant + resource from the agent runtime via IsAuthorized — deny-by-default, auditable, and safer than string lists in Lambda env.

AI AWS Debugging

ADOT OpenTelemetry: Trace Multi-Hop Agent Tool Calls Across Lambda

Multi-hop coding agents invoke orchestrator Lambdas that call tool Lambdas — without W3C trace context you cannot stitch latency or failures. ADOT OpenTelemetry propagates traceparent across hops, adds span attributes for tool name and tokens, and complements EMF cost metrics.

AI AWS Node.js

ElastiCache Redis: Scratchpads and Tool-Result Cache for Multi-Turn Coding Agents

Multi-turn coding agents need fast scratchpads and idempotent tool-result caches between turns. ElastiCache Redis gives TTL scratchpads, connection reuse on Lambda, and cheaper hot-path reads than DynamoDB session stores — with clear tradeoffs for durability and multi-AZ.

AI AWS System Design

Step Functions: Orchestrate Multi-Step Coding Agent Graphs Without Recursive Chaos

Coding agents that fan out tool calls with Lambda recursive self-invoke burn quotas and hide failure modes. Step Functions Express and Standard workflows let you model tool graphs with Map/Parallel, waitForTaskToken human-in-the-loop, and explicit retries — without recursive Lambda chaos.