CheatCoders

Per-tenant coding-agent AWS accounts still blow up when an over-permissioned tool role gets iam:CreateUser or organizations:LeaveOrganization. Service Control Policies at the Organizations OU hard-cap what agent accounts can call even if the role policy is wrong — complementing Verified Permissions and IAM condition keys.

Multi-turn coding agents lose session cursors and tool scratch when an ElastiCache node fails or a cache is flushed — DynamoDB is durable but not sub-millisecond for hot turn state. Amazon MemoryDB gives Redis-compatible APIs with Multi-AZ durability so session cursors and tool scratch survive node failure without treating cache as source of truth.

Coding-agent tool Lambdas pay cold-start tax every time Java/Python JVMs or interpreters boot clang, tree-sitter, or SDK clients — provisioned concurrency burns money while idle. Lambda SnapStart snapshots a warmed execution environment so restores beat cold starts without always-on waste; use it for tool runners, not for Bedrock model calls sitting in the same function.

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.

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.

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.