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 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.
1---2name: ai-news-research3description: 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.4license: MIT5---67# AI News Research89Research AI coding agent news and write a monthly summary in Norwegian. Output: `docs/news/<month>.md`.1011## Step 1: Search1213Run web searches (adjust month/year):1415```16GitHub Copilot news [month] [year]17AI coding agent trends [month] [year]18AI coding agent hardening readiness enterprise [year]19Reddit AI coding agents AGENTS.md skills context [year]20site:github.blog copilot21```2223## Step 2: Fetch sources2425For each hit, fetch the full page and extract facts, numbers, quotes, and the exact URL.2627```28web_fetch url="https://github.blog/..." → extract announcements, dates, feature names29web_fetch url="https://news.ycombinator.com/..." → extract top comments, sentiment30```3132| Source | What to look for |33| --- | --- |34| github.blog | Official announcements, feature launches, deep-dives |35| Hacker News | Community reactions, real-world experiences |36| Reddit | Practitioner sentiment, pain points, success stories |37| LinkedIn | Thought leaders, experience reports |38| Anthropic, OpenAI, Google | Competing platforms, trend reports |3940## Step 3: Write the summary4142Cover these topics when relevant news exists:4344- **Platform updates**: Copilot, Agent HQ, competing platforms45- **Agent context**: AGENTS.md, skills, instructions, prompts46- **Memory**: Cross-agent memory, session persistence47- **Agentic workflows**: CI/CD, background agents, continuous AI48- **Security**: Sandboxing, safe outputs, access controls49- **Readiness**: Enterprise adoption, maturity models50- **SDK/extensibility**: Copilot SDK, MCP servers, custom agents51- **Community sentiment**: What developers actually experience5253Write 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.5455## Step 4: Nav relevance5657End with a "Relevans for Nav" table. Nav context:5859- GitHub Copilot as sanctioned AI coding tool, ~500 tech professionals60- Nais platform (Kubernetes/GCP), Kotlin/Ktor, Next.js61- Strong security/privacy/accessibility requirements62- Measures developer experience (SPACE framework, DORA metrics)6364## Example output6566See `docs/news/` in the repository root for published examples.
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