Building an Agent Evaluation CI/CD Pipeline: Architecture, Budgets, and Regression Gates
This is Part 5 of a 5-part series on evaluating and hardening production AI agents. See also: Part 1: Moving Beyond LLM-as-a-Judge , Part 2: Deterministic State Evaluations , Part 3: Statistical Rigor in AI Evals , and Part 4: Curating Golden Trajectories . Over the course of this series, we decomp…
Read the full story at DEV Community — Machine Learning ↗
Timeline · 1 report
- 2026-11-02 14:01 · DEV Community — Machine Learning
Building an Agent Evaluation CI/CD Pipeline: Architecture, Budgets, and Regression Gates
More stories
- Anthropic reports Q3 revenue near $17B, $23.3B net loss in amended IPO prospectus — Bloomberg AI
- Musk says Grok Bot usage limits imposed as serving costs were 'unsustainably high' — Forbes AI
- OpenAI Launches Grid Protectors Program to Ease Grid Strain From Compute Campuses — OpenAI News
- DeepSeek open-sources dsh-superagent, a proactive autonomous coding agent prototype — Bloomberg AI
- Musk mocks Altman's RAM comments as OpenAI weighs renaming data centres amid backlash — The Verge AI
- Malicious Claude Code extension pulled from Cursor marketplace after SSH backdoor attempt — Microsoft Research Blog
- Marvell to acquire optical components maker Lumentum in $115 billion all-stock deal — CNBC Technology
- Anthropic updates Claude Code to block recreation of existing video games — Engadget
Get the daily brief of stories like this at 6:30 every morning →