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

See docs/news/february.md.