#reliability

6 posts tagged with #reliability

Every article below is hand-written, technically reviewed, and focused on reliability. Posts cover real-world architecture decisions, code-level implementation patterns, and trade-offs you'll only discover after shipping production systems.

a laptop computer sitting on top of a desk Developer Tools

How to Design Webhook Retries, Ordering, Idempotency [2026]

A practical 10M events/day webhook delivery architecture: partition keys, retry storm control, per-tenant isolation, idempotency storage, replay UX, and reliability SLOs.

a computer screen with a blue background AI and Machine Learning

How to Do Agent Tool Call Failure Testing [2026 CI Harness]

Build a deterministic CI harness that breaks your agent’s tools on purpose: timeouts, 429s, partial writes, retries, and stuck loops. Then regress it with golden traces.

a laptop computer sitting on top of a wooden desk Cloud and DevOps

ChatGPT Down? 8 Fallback Patterns for API Outages [2026]

When ChatGPT goes down, your app shouldn’t. A production playbook for detection, retries with jitter, circuit breakers, bulkheads, throttling, and multi-provider failover.

a computer screen with a bar chart on it AI and Machine Learning

AI Agent Evaluation Framework 2026: 8 Metrics Beyond Task Success

If your agent eval is just “did it finish the task?”, you’re flying blind. Here’s a 2026-ready scorecard for tool correctness, recovery, safety, and cost-per-success—plus a regression suite blueprint you can actually run in CI.

black hp laptop computer turned on displaying desktop AI and Machine Learning

Agent Evaluation Harness [2026]: Replay, Rubrics, CI Gates

Most agent failures aren’t “bad prompts”. They’re multi-step tool cascades. Here’s how I build an agent evaluation harness that actually prevents regressions.

Hand drawing a diagram on a whiteboard. AI and Machine Learning

AI Agent Control Flow Patterns [2026]: Retries, HITL, Checkpoints

A practical catalog of ai agent control flow patterns that actually ship: bounded retries, idempotent tools, durable checkpoints, human approvals, and debuggable replays.