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CheatCoders

AWS Budgets + Cost Anomaly Detection: Cap Runaway Coding-Agent Spend

Multi-tenant coding agents can burn Bedrock tokens, Lambda GB-seconds, and Batch vCPU overnight before dashboards catch up. AWS Budgets plus Cost Anomaly Detection give hard caps and intelligent alerts on runaway agent spend — wired to SNS, AppConfig kill switches, and per-tenant EMF metrics.

AI AWS Machine Learning

OpenSearch Serverless: Semantic Scratch Memory for Multi-Turn Coding Agents

Multi-turn coding agents drown in Redis keys and lose "what we tried last hour" across sessions. OpenSearch Serverless vector search gives semantic scratch memory — embed tool outcomes and file summaries, retrieve by meaning, TTL with index lifecycle — without running your own OpenSearch cluster.

AI AWS System Design

ECR + Lambda Container Images: Heavyweight Coding Tools Without Zip Limits

Zip and layer Lambda caps choke coding-agent tools that need clang, tree-sitter, language servers, or large Python ML wheels. ECR-backed Lambda container images give you up to 10 GB of toolchains without Zip gymnastics — with cold-start and CVE tradeoffs you must design for.

AI AWS Debugging

CloudTrail Lake: Query Agent IAM Abuses Without Spreadsheets

Coding agents assume roles, call Bedrock, and touch S3 under short-lived sessions — when one tenant's tool role starts ListBuckets or Decrypt outside the allowlist, CloudTrail event history alone will not scale. CloudTrail Lake lets you SQL-query agent IAM abuses across accounts without exporting CSVs to spreadsheets.

AI AWS System Design

DynamoDB Transactions: Atomic Tool-Ledger Writes for Coding Agents

Coding agents that debit quotas, mark tool side effects done, and write session state in separate PutItems double-spend under retries. DynamoDB TransactWriteItems gives you an atomic tool ledger — quota debit + effect row + session stamp in one all-or-nothing write — so Lambda retries and Step Functions Task retries cannot charge twice.

AI AWS System Design

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.