Open-source agent evals governance loop inspired by Hacker News discussions
Practical governance and operating patterns based on current public tech signals.
#testing
27 articlesTypeScript Runtime Contracts, Practical Patterns Teams Are Adopting in 2026
Why schema validation, contract tests, and typed boundaries are becoming standard in production TypeScript systems.
MCP Tooling in Production: Contract Tests, Permission Boundaries, and Runtime Observability
How teams move from demo-grade MCP integration to production-grade reliability and governance.
TypeScript Runtime Schemas in 2026: Safer APIs from IDE to Production
Designing end-to-end schema pipelines with TypeScript, runtime validation, and contract-first delivery.
From TypeScript types to runtime contracts: platform patterns from Qiita and Zenn practice
Actionable operating model and implementation guide based on current industry signals.
Physical AI Simulation Platforms and the Sim-to-Real Ops Playbook (2026)
How teams can operationalize simulation-first robotics development, close the sim-to-real gap, and run safer production rollouts.
CI-Native AI Code Review: Scaling Patterns That Improve Signal Without Drowning Teams
A practical design for introducing AI reviewers in CI with guardrails, measurable quality gains, and low-noise feedback loops.
AI Coding at Team Scale: A Governance Playbook for Claude Code and Similar Agents
A field-tested framework to raise delivery speed with AI coding agents while controlling review debt, security risk, and architecture drift.
From Findings to Preventive Design: Scaling CodeQL Models-as-Data in Enterprise Security Programs
How to use new CodeQL barrier and barrier guard modeling to reduce false positives and encode security knowledge as reusable policy assets.
Structured Outputs as Reliability Contracts: An LLM Ops Playbook for Enterprise APIs
How to convert brittle prompt parsing into schema-driven contracts with validation layers, fallback policies, and measurable error budgets.
AI-Era App Launch Surge: Product Operations Playbook for Sustainable Release Velocity
How teams can respond to the sharp rise in app launches by redesigning experimentation, QA automation, and release governance.
Beyond Tokenmaxxing: How Engineering Teams Measure Real AI Coding Productivity
A measurement framework for distinguishing genuine throughput gains from AI-generated busywork in software teams.
AI Coding Agents in 2026: Building a Multi-Model Verification Loop for Real Delivery
How teams can convert rapid AI coding progress into stable software outcomes with verification-first workflows and role-segmented agents.
AI Coding at Scale Needs Verification Pipelines, Not Just Faster Generation
As agentic coding accelerates output, engineering organizations need verification-first delivery systems with explicit trust boundaries and measurable quality gates.
From SDK Features to Operating Safety: An Enterprise Playbook for Modern Agent Stacks
A practical framework for converting new agent SDK capabilities into measurable reliability, safety, and rollout controls.
From “Security” to “Security & Quality”: A DevSecOps Operating Model for Unified Risk Triage
Practical guidance on using GitHub’s Security & quality view to merge vulnerability response and code-health governance into one workflow.
Code Verification Agents and the New Economics of AI-Generated Software
Why test/review verification agents are becoming core infrastructure as coding output scales, and how to adopt them without slowing delivery.
AI-Generated Code Flood Control: An Enterprise Review Operating Model That Actually Scales
A practical governance and tooling model for handling rising AI-generated PR volume without sacrificing correctness or developer flow.
AI Coding Agents Need Eyes: Designing UI Verification and Evidence Pipelines
How to prevent silent visual regressions by adding screenshot evidence, deterministic checks, and review workflows for coding agents.
GitHub REST API 2026-03-10: A Migration Governance Playbook for Platform Teams
How to migrate safely to GitHub REST API version 2026-03-10 with contract tests, rollout rings, and breakage containment for enterprise integrations.
From E2E to Security Signals: Integrating Playwright, ZAP, and Coding Agents in CI
A practical CI design that combines browser automation, DAST scanning, and agent-assisted triage without overwhelming teams.
REST API Version 2026-03-10: How to Institutionalize Safe Upgrade Cycles
A practical migration pattern for adopting new GitHub REST API versions with contract tests, deprecation budgets, and phased rollout.
Designing Safe Delegation Loops with Copilot Agentic Capabilities in JetBrains IDEs
A practical operating model for teams adopting GitHub Copilot’s expanded agentic features in JetBrains without losing code ownership.
CodeQL and Java 26 Adoption: How to Upgrade Without Weakening Security Gates
A migration strategy for teams adopting Java 26 while maintaining reliable CodeQL coverage and CI confidence.
CI-Native Agent Evaluation with SWE-CI: From Demo Wins to Maintenance Reality
How to use CI-grounded benchmarks and internal scorecards to evaluate coding agents on real maintenance work.
Prompt Injection Red Teaming for Coding Agents: A Practical Playbook
How engineering teams can test whether coding assistants leak secrets, follow poisoned instructions, or break trust boundaries.
OSS Maintainers Need a Verification Budget for AI-Era Contributions
As AI-generated pull requests increase, open-source projects must formalize triage, validation, and contributor expectations to avoid burnout and quality decay.