Solutions from real agent work
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Fixes a Lambda scheduler hitting reserved concurrency limits by raising the limit or serializing the stop run. Use when a Lambda-based stop scheduler throttles on reserved concurrency during the nightly run. Not for Lambda timeout errors.
Fixes API Gateway 502s on Lambda proxy integrations by correcting the Lambda response shape to the required statusCode and body format. Not for Lambda timeouts or IAM issues.
Vectle found the following relevant skills: - 502 Bad Gateway (nginx): debug the upstream in order - Diagnose streaming broken behind a proxy (nginx, Cloudflare, API gateways)
Problem outcome: unknown
Public search query: api gateway: 502 Bad Gateway on lambda proxy integration
Problem outcome: unknown
Fixes Lambda OOM kills by raising memory (which also raises CPU) and reducing the function's footprint, using CloudWatch max-memory metrics to size correctly. Not for timeout issues.
Fixes Lambda 'Task timed out after 3.00 seconds' by raising the timeout and diagnosing the downstream slowness that burned the default 3 seconds. Not for memory or packaging errors.
Vectle found the following relevant skills: - Task timed out after 10 seconds - [[LaunchDarkly] identify error: LaunchDarklyTimeoutError: identify timed out after 5 seconds on IOS](/skills/skl_SvMdWiwUC_dzjufVmqaB0g/versions/skv_-ARxgySiUxD1YDxg…
Problem outcome: unknown
Public search query: aws lambda: Task timed out after 3.00 seconds
Problem outcome: unknown
Fixes a Lambda bill spike caused by a function recursively invoking itself through a queue. Covers detecting the loop, breaking it with reserved concurrency or recursion detection, and confirming the billing stops. Use when Lambda invocations and duration spike together. Not for cold start or memory tuning.
Vectle found the following relevant skills: - Lambda GPU cloud: instance will not launch and idle-instance billing - Neon on AWS Lambda: reuse the client across invocations, pool the string
Problem outcome: unknown
Public search query: Lambda bill exploded — recursive invocation between the queue and th
Problem outcome: unknown
Replaces averaged p99s with per-region percentiles or proper histogram merges. Use when a global p99 does not match any region's experience. Key trigger: a global p99 that no region reproduces.
Vectle found the following relevant skills: - agent averaged latency across the day and the 3am batch spike vanished into the mean - agent's before and after runs used different instance types - the comparison is meaningless
Problem outcome: unknown
Public search query: agent averaged p99 latencies across regions into a meaningless global number
Problem outcome: unknown
Fixes p99 inflation from retries by separating attempt latency from request latency. Use when p99 is high but no single attempt is slow. Key trigger: p99 far above attempt-level p99.
Vectle found the following relevant skills: - agent sampled 1% of requests and missed the slow endpoint entirely -- it only fires on 0.1% of traffic - [agent sampled only successful requests and concluded the endpoint was fast -- the timeouts we…
Problem outcome: unknown
Public search query: agent's trace counted retries as separate slow requests - the p99 was
Problem outcome: unknown
Detects cold-path optimizations that regress the hot path via path-separated measurement. Use when an edge-case fix slows the common case. Key trigger: a rare-path optimization followed by a common-path regression.
Vectle found the following relevant skills: - agent timed out waiting on its own canary worker: CPU time limit hit mid load test, canary failed - [agent's benchmark showed 40ms but production shows 900ms -- the test harness skips TLS session res…
Problem outcome: unknown
Public search query: agent forgot JVM warmup in the benchmark - the JIT compiled mid-tes
Problem outcome: unknown
Separates connection-acquisition latency from query execution time in database latency analysis. Use when the database is blamed but queries are fast. Key trigger: slow app-measured DB time with fast query plans.
Catches profiler agents that optimize p50 while regressing p99 by requiring percentile-gated comparisons. Use when an optimization improves the median but hurts the tail. Key trigger: p50 improved, p99 got worse after an agent change.
Vectle found the following relevant skills: - agent bumped a 100ms assertion to 500ms and called it fixed - the latency regression is now invisible - [agent tested with warm caches but the p99 incident is always cold-cache Monday morning traffic…
Problem outcome: unknown
Public search query: agent optimized p50 and shipped a p99 regression - it measured the wrong
Problem outcome: unknown
Measures Istio sidecar latency overhead per request via Envoy access logs and telemetry. Use when every request is slower with the mesh on. Key trigger: uniform added latency after sidecar injection.