# AI News Research

> Skriv månedlige oppsummeringer av AI-nyheter for utviklere på norsk med fungerende kildelenker. Bruk for å skrive nyheter, oppsummere AI-trender, lage månedlig oppdatering, eller undersøke hva som er nytt i GitHub Copilot, coding agents, AGENTS.md, skills, memory, agentic workflows eller developer experience.

- Skill: `navikt/ai-news-research` (Agent Skill, multi-file: 3 files)
- Install (CLI): `npx skillmds@latest add navikt/ai-news-research`
- Raw SKILL.md: https://api.skillmd.com/api/skills/navikt/ai-news-research/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Research & Search
- License: MIT
- Author: navikt (https://skillmd.com/u/navikt)
- Updated: 2026-09-10
- Page: https://skillmd.com/skills/navikt/ai-news-research

---


# 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.

```
web_fetch url="https://github.blog/..." → extract announcements, dates, feature names
web_fetch url="https://news.ycombinator.com/..." → extract top comments, sentiment
```

| 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](./references/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/` in the repository root for published examples.