AI Coding Live News

X Discussion: levelsio Used Claude Code to Decompile the Battlefield 1942 Demo and Put It in the Browser With Multiplayer, Citing About 1M Output Tokens

Indie developer Pieter Levels (@levelsio) said on X on November 2 that he used Claude Code to decompile the engine of the free Battlefield 1942 demo, port it to C, compile it to WebAssembly and host it at bf1942.pieter.com, where it runs in the browser with online co-op on the Tobruk map. He said the job took about 1 million output tokens, roughly $100 at API prices, while he pays for a $100-a-month Claude subscription. His two main posts drew about 2,200 likes and 340,000 views and reached X trending. These are the author's own claims and community discussion, not independently verified.

X Discussion: levelsio Used Claude Code to Decompile the Battlefield 1942 Demo and Put It in the Browser With Multiplayer, Citing About 1M Output Tokens

Key Takeaways

  • Author's account: Claude Code decompiled the Battlefield 1942 demo engine, which was ported to C and compiled to WebAssembly to run in the browser.
  • The live build at bf1942.pieter.com opens directly, is labeled non-commercial and unofficial, and offers online co-op on Tobruk with no install.
  • Cost: about 1 million output tokens by the author's count, roughly $100 at API prices; he actually pays for a $100-a-month Claude subscription.
  • He said it was much harder than his earlier Quake and DOOM ports, whose engine source code id Software released long ago.
  • Reach: the first post had about 1,100 likes and 230,000 views, the launch post about 1,100 likes and 107,000 views; testers are already reporting bugs.
Read full story
Linked Models & Agents:

Google Labs launches Playground: no-code, prompt-based game creation powered by Gemini, Nano Banana and Lyria (US 18+)

Google Labs launched Playground on 2026-10-07: describe a game in chat, test it, and share it or publish it to the Explore gallery, with multiplayer and leaderboards in select genres. It runs on Gemini, Nano Banana, and Lyria with a custom harness. US 18+ first; weekly creation tokens with higher limits on Google AI plans; Unity Spark integration coming.

Google Labs launches Playground: no-code, prompt-based game creation powered by Gemini, Nano Banana and Lyria (US 18+)

Key Takeaways

  • Official: Google Labs launched the Playground experiment on 2026-10-07; no-code, prompt-based game creation
  • Availability: US, 18+, at playground.google; weekly creation tokens, higher on Google AI subscriptions
  • Stack: Gemini + Nano Banana + Lyria with a custom harness (per Google spokesperson to The Verge)
  • Sharing: private, link, or Explore gallery; multiplayer and leaderboards in select genres; safety screening
  • Unity Spark integration coming (in testing, closed beta soon); no published quality or latency metrics
Read full story
Linked Models & Agents:
⚡ Google Gemini⚡ Google Nano Banana⚡ Google Lyria🌐 Google DeepMind🌐 unity

Atlassian launches Agentic Multiplayer Protocol (AMP) and a rebuilt Atlassian MCP with 220+ tools, 15M+ daily calls and up to 25% fewer tokens

At Team '26 Europe, Atlassian introduced AMP, a framework giving agents an assigned identity, scoped authority, shared Teamwork Graph context and reviewable output, and made a rebuilt Atlassian MCP generally available with 220+ tools, OAuth 2.1/PKCE and tiered read/write/destructive scopes.

Atlassian launches Agentic Multiplayer Protocol (AMP) and a rebuilt Atlassian MCP with 220+ tools, 15M+ daily calls and up to 25% fewer tokens

Key Takeaways

  • Atlassian MCP handles 15M+ calls/day; rebuilt from dozens of tools to 220+, with up to 25% token savings on the same Jira/Confluence work in internal Claude benchmarks
  • Teamwork Graph (250B+ connections) now indexes Bitbucket/GitHub source down to functions, symbols and classes via Rovo Code Search, no clone needed
  • Internal benchmark: agents grounded in Teamwork Graph were 44% more accurate with 48% fewer tokens
  • Humans and agents already collaborate 10M+ times a month on Atlassian; Jira agent sessions link local and cloud agent runs back to work items
  • MCP secured with OAuth 2.1 + PKCE by default, read/write/destructive scopes separated; EU-local AI inference added, non-human identity inventory coming soon
Read full story

Google DeepMind & Kaggle Launch Game Arena: Dynamic Competitive Benchmarks for LLM Strategic Evaluation

Addressing the rapid saturation and benchmark overfitting of static LLM evaluations, Google DeepMind and Kaggle unveiled Game Arena. By orchestrating head-to-head live agent matchups with dynamic Elo rating evolution, Game Arena prevents performance saturation across three pilot environments: Chess (perfect information), Texas Hold'em Poker (imperfect information), and Werewolf (multiplayer social deduction and deception), systematically benchmarking long-horizon strategic reasoning.

Google DeepMind & Kaggle Launch Game Arena: Dynamic Competitive Benchmarks for LLM Strategic Evaluation

Key Takeaways

  • Dynamic Head-to-Head Evaluation: Replaces static, easily saturated benchmarks with real-time model-versus-model matchups and dynamic Elo tracking that scales naturally as LLM reasoning capabilities evolve.
  • Comprehensive Game Theory Spectrum: Spans perfect information (Chess), imperfect information with strategic betting (Poker), and multi-turn multi-agent social deduction and deception (Werewolf).
  • Reproducible Sandboxed Infrastructure: Jointly open-sourced by DeepMind and Kaggle, providing standardized Python tournament APIs, replay verification pipelines, and sandboxed anti-cheat guardrails.
Read full story
Linked Models & Agents:
ADSponsored

Zed Delta Public Beta: Multiplayer Agent Coding With Changes Tied to Conversation Threads

Zed launched Delta into public beta: a multiplayer environment for coding with agents and reviewing what they build, with every code change linked to the conversation that produced it. Downloads are available today for macOS, Linux, and Windows. Zed has already stopped opening GitHub PRs on the Delta repo and lands changes with Delta itself via guided review and /land.

Key Takeaways

  • Public beta: download for macOS, Linux, and Windows from delta.dev for multiplayer agent coding and review
  • Threads as the unit of work: every change links to the conversation that produced it; DeltaDB records in-between edits and discussion
  • Dogfooding: Delta repo no longer uses GitHub PRs; guided review then /land squash, CI, and land with approval
Read full story
Linked Models & Agents:

GitHub Next open-sources Chopin: real-time multiplayer agentic planning

GitHub Next (@GitHubNext) introduced Chopin, an early open-source prototype for real-time, multiplayer, visual agentic planning so teams can align on a plan before handing work to agents; more development is planned over the coming months.

Key Takeaways

  • Chopin is a real-time multiplayer visual planner for agent workflows.
  • It targets shared alignment before handing tasks to coding/execution agents.
  • Early open-source prototype at githubnext.com/projects/chopin/
Read full story
Linked Models & Agents:

StackBlitz Bolt.new ships Prompt Queueing with realtime multiplayer collaborative queues

StackBlitz's Bolt.new rolled out Prompt Queueing, allowing developers to queue subsequent instructions while a build is in progress. The queue supports realtime multiplayer collaboration where teammates can view and edit pending tasks together, alongside an automated security auditing agent.

Key Takeaways

  • Transforms generative prototyping from turn-based waiting into continuous task queueing.
  • Realtime multiplayer queues allow distributed teams to collaborate on app feature queues.
  • Integrated automated security audit agent scans, patches, and redeploys hardened apps.
Read full story
Linked Models & Agents: