A deep technical guide to LocalStack 2026 — running 110+ AWS services locally, integrating with Terraform, CDK, and CI pipelines, understanding the fidelity gaps that matter, and the major structural changes that ended the free community edition.
Testing
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LocalStack: AWS Development Without the Cloud Bill -
LLM Evals: Testing Your AI Application Like Real Software Writing evaluations that catch regressions before they reach users: golden datasets, LLM-as-judge pitfalls, CI integration, and the tools that make a sustainable eval pipeline — Braintrust, Langfuse, Promptfoo, Inspect, and DeepEval compared.
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Chaos Engineering in Practice: Breaking Things on Purpose to Build Unbreakable Systems A comprehensive guide to chaos engineering—covering the steady-state hypothesis, designing safe experiments, running game days, using Chaos Monkey, Litmus Chaos, and k6, and building a chaos program that actually improves reliability.
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Chaos Engineering on a Budget: Building Resilience Without Breaking the Bank Run controlled failure experiments with Chaos Monkey, Pumba, and Litmus on a shoestring budget. Learn to design steady-state hypotheses, run game days, and build genuine confidence in your runbooks.
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Fuzzing for Developers: Finding Bugs Machines Can't Ignore A comprehensive guide to coverage-guided fuzzing—covering how fuzzers work under the hood, writing fuzz targets in Go, C/C++, Rust, and Python, running AFL++ and libFuzzer, integrating with CI via OSS-Fuzz and ClusterFuzz, and triaging crashes.
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Ephemeral Environments: Preview Deployments, Branch Environments, and Testing in Isolation Ephemeral environments spin up a complete, isolated copy of your application for every branch or pull request — automatically. This guide covers the patterns, tooling, and trade-offs for building preview deployments that actually improve your development workflow.
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Feature Flags: Safe Deployments, Dark Launches, and Rolling Rollouts Feature flags decouple code deployment from feature release, letting you ship dark, roll out progressively, and kill switches instantly — without a redeploy.
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Testing Strategies That Actually Work Tests do not prove your code is correct; they buy you the confidence to change it. This is a working strategy for spending a finite testing budget well: what the pyramid gets right and where the testing trophy disagrees, why testing behavior beats testing implementation, the real cost of mocks and flakiness, and why coverage is a useful gauge and a terrible target.
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Refactoring Legacy Code Safely Legacy code is not old code; it is code you are afraid to change because it has no tests and no one remembers how it works. This is a practical method for taming it: pinning current behavior with characterization tests, finding seams to break dependencies, making changes in reversible small steps, and using the strangler-fig pattern to replace whole subsystems without a big-bang rewrite.