AI News Research

Research AI coding agent news and write a monthly summary in Norwegian. Output: docs/news/<month>.md.

Step 1: Search

Run web searches (adjust month/year):

GitHub Copilot news [month] [year]
AI coding agent trends [month] [year]
AI coding agent hardening readiness enterprise [year]
Reddit AI coding agents AGENTS.md skills context [year]
site:github.blog copilot

Step 2: Fetch sources

For each hit, fetch the full page and extract facts, numbers, quotes, and the exact URL.

Source	What to look for
github.blog	Official announcements, feature launches, deep-dives
Hacker News	Community reactions, real-world experiences
Reddit	Practitioner sentiment, pain points, success stories
LinkedIn	Thought leaders, experience reports
Anthropic, OpenAI, Google	Competing platforms, trend reports

Step 3: Write the summary

Cover these topics when relevant news exists:

Platform updates: Copilot, Agent HQ, competing platforms
Agent context: AGENTS.md, skills, instructions, prompts
Memory: Cross-agent memory, session persistence
Agentic workflows: CI/CD, background agents, continuous AI
Security: Sandboxing, safe outputs, access controls
Readiness: Enterprise adoption, maturity models
SDK/extensibility: Copilot SDK, MCP servers, custom agents
Community sentiment: What developers actually experience

Write in Norwegian (bokmål), direct tone, short sentences. Use English tech terms where developers do (e.g. "public preview", "PR", "repo"). See OUTPUT-FORMAT.md for the exact document structure and source citation rules.

Step 4: Nav relevance

End with a "Relevans for Nav" table. Nav context:

GitHub Copilot as sanctioned AI coding tool, ~500 tech professionals
Nais platform (Kubernetes/GCP), Kotlin/Ktor, Next.js
Strong security/privacy/accessibility requirements
Measures developer experience (SPACE framework, DORA metrics)

Example output