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2695 postsFOMO-Driven AI Coding: Speed Illusion, Hidden Review Debt
GitHub's 55% speedup versus METR's 19% slowdown finding reveals how FOMO-driven AI coding adoption hides the real cost of review and verification in mature codebases.
Fixing JavaScript Observability Without Monkey-Patching
Sentry engineers are pushing Node's TracingChannel API into pg, mysql2, and redis to replace fragile JavaScript APM monkey-patching.
When Green Tests Lie: Ten Patterns Behind False Positives
Ten real examples from a single audit day show how passing tests and checks can mask broken software, and how to actually test the checkers themselves.
CommitBrief — AI code reviews, right in your terminal
A provider-agnostic, local-first CLI that reviews your staged changes, a historic range, or a whole GitHub pull request. Zero telemetry, no server. Free and open source.
commitbrief.comTesting a Pyxel Config Tool Against Silent State Drift
How a browser-based Pyxel config tool defends against state drift using schema freshness checks, real-schema bounds tests, and CI-driven API introspection.
737x Faster LangGraph Checkpoints: Where Rust Wins and Where It Loses
fast-langgraph accelerates LangGraph's deepcopy-based checkpointing with Rust, delivering up to 737x speedups on large state but no gain on small flat dicts.
Platform Engineering: The Fix for Developers' Wasted Wait Time
Engineering teams lose sprint capacity waiting on infra provisioning and access approvals. See how golden paths and internal developer platforms fix this.
Celly: A Pure Managed C# Engine for Google's CEL, 100% Conformant
Celly is a pure-managed, native C# implementation of Google's CEL passing 100% conformance tests — plus the first protovalidate library for .NET.
CosmosEscape: How a Bug Exposed Every Azure Cosmos DB Account
A Gremlin API sandbox escape in Azure Cosmos DB exposed a master key capable of compromising any database on the service, Wiz Research found.
Rust Moves Toward Stabilizing Polonius Alpha Borrow Checker
Rust's Polonius alpha borrow checker nears stabilization, fixing NLL limitations with new tests, a formal model, and performance validation.
Building Reliable Software With Untrustworthy AI Agents
A practical framework for reliable AI-agent coding: context window management, verification layers, CLAUDE.md briefs, and reusable skills.