7 things we built with Opus 4.8 on Hyperagent... 👇 1. Mars rover pathfinding simulator 2. Standup Island: a cozier place to review the kanban, inspired by Every 📧's livestream today 3. SpaceXAI + Anthropic partnership visualized 4. Landing page for an outdoor brand w/ Nano Banana + Veo 5. Multi-agent command center 6. Black hole explainer 7. Emergent ecosystem simulator In our vibe check, 4.8 shows: - more varied design sensibilities - better self-correction over long-running tasks - excellent spatial reasoning - more natural copywriting - fewer obvious coding errors - more resourcefulness during reasoning Links below to every interactive artifact shownshow more

Warp now supports Claude Opus 4.8. Opus 4.8 is... built for longer agent runs: planning up front, following through across multi-step coding tasks, and catching real bugs in review instead of stopping after one clean test run.show more

BREAKING: Anthropic just dropped Opus 4.8—and it is a... MONSTER We've been testing for about a week Every 📧 and our verdict is they could've just called it Opus 5, it's that good. Here's our vibe check: - Beats GPT-5.5 on Senior Engineer bench. On our toughest benchmark Opus 4.8 scores a 63—a hair higher than GPT-5.5's score of 62, and a full 30 points higher than Opus 4.7. It tackled a ground-up rewrite of a production codebase, and actually built something that works. HOWEVER: Coding performance varied a lot at different reasoning levels. We recommend using it on xhigh for best results. - Incredibly good writer. Opus 4.8 scored a 79.6 on our writing benchmark—measuring models on real-world writing tasks we do all of the time like essay writing, promo email writing, and more. It beats GPT-5.5 by 6 points. It produces well-written prose with fewer "AI-isms". It's also very good at writing in your voice given the right context. HOWEVER: Writing performance also varied with reasoning levels. Medium reasoning had higher incidence of AI-isms—we found best results with high. - Beast at knowledge work. Opus 4.8 is very good at general knowledge work tasks like report creation, research and more. It produced the best PowerPoint one-shot we've ever seen on our deck generation benchmark. - Emotionally intelligent, willing to question the frame. I've also found it to be quite good at talking through psychological or interpersonal issues. It has a high EQ, and it's also good at not glazing and helping to expand your perspective. Its thought process feels extremely rich and dynamic. THE BAD: These days a model is only as good as its harness, and Codex is still a far superior harness to the Claude Desktop app. This has kept me using Codex + GPT-5.5 as my daily driver, but I am flipping back and forth a lot more between Codex and Claude. Anthropic is back baby! Read the rest on Every 📧:show more

This is amazing. Do this: 1. Set model to... Opus 4.8 2. Reasoning effort to /ultracode Enables Claude Code's new Dynamic Workflows. Claude will autonomously detect complex tasks, write an orchestration script, and spawn an agent swarm.show more

opus 4.8 actually cooked at this design, designers actually... cooked? it redesigned my landing page with this super clean UI live below 👇show more

We got early access to the Gemini Omni API... Google is calling this model "Nano Banana for video" 3 things we built with it👇 1. Landscaping proposal from customer video. Customer submits a video of the current lot. Hyperagent designs and renders the transformation. Perfect realism, no surreal changes to the surroundings. 2. Animated professor who explains your dashboards. Hyperagent runs analysis on a business question, then generates an explainer video to walkthrough the findings. 3. 8-bit morning briefing. Hyperagent builds morning briefings based on calendar, email/chat, and market intel. Then generates a sidescrolling platformer video showing the goals you'll clear today. Our take: > Video has been a vastly underused input for agents. This is the first model to make video directly malleable to our agents. > Get more imaginative with your outputs. How could a video artifact make the work more memorable or playful? coming soon to Hyperagentshow more

Opus 4.6 lets you set the effort level Not... every task needs high reasoning. For simpler tasks you can set it to low or medium. Claude thinks less (or skips it entirely), makes fewer tool calls, and gives more concise answers Lower effort = faster responses with fewer tokens!show more

This model is insane at design. I asked GLM... 5.2 (left) and Opus 4.8 (right) to build me a landing page and you can't even tell the difference. GLM cost $0.06 while opus cost $0.49. More than 6x cheaper while being faster + more token efficient. Another win for open source AI.show more

Nano just got an upgrade. More robust design, improved... durability, and clearer setup instructions. Built to make onboarding smoother and the experience better for every node operator.show more

Vibe Coding Robotics part 3 Built a simulation where... two robots collaborate to complete a task. Designed with Nano Banana Pro, built with Gemini 3.show more

I built an o1 alternative, that is: 1) Fully... transparent, visually trackable 2) Infinitely recursive 3) Self-healing, with tests at every step 4) Capable of using a Python interpreter It performs shockingly well, check it out! 🧵Code + performance on popular reasoning problemsshow more

Fable 5 absolutely crushed the HTML5 physics contest, but... cost 6x more than Opus 4.8 and 39× more than GLM 5.2 in that test. Test was done on atomic[.]chat, a desktop app that runs LLMs locally. The test asked 4 models to generate self-contained canvas demos with believable motion and collisions. The scenes were not simple animations because every crash needed gravity, force, timing, and contact handling. Outputs: - Fable 5: 62,158 tokens, $3.12 - GPT 5.5: 37,753 tokens, $1.14 - Opus 4.8: 22,280 tokens, $0.56 - GLM 5.2: 36,246 tokens, $0.08show more

UltraCode is running over 100 Opus 4.8 agents right... now. This is the future of software development. Not 5 agents. Not 10. Over 100 working simultaneously across the entire BridgeMind ecosystem. This is what vibe coding looks like at scale. One person orchestrating a swarm of AI agents building, debugging, and shipping in parallel. We are so early.show more

This is wild. Anthropic just dropped Claude 4 and... it will completely change the AI coding game. 10 wild examples: 1. Flight simulator using Claude 4 Opusshow more

Emergent 2.0 just dropped. You can now build apps,... games, MCPs and extensions in 1 prompt. It now has a security review, scalability, and design agent which solves the flaws in Vibe coding platforms. 5 crazy examples + how to try free 👇: 1. GitHub Live Repo Visualizershow more

fable 5 is so nerfed. sometimes it feels like... anthropic shipped the max version of opus 4.8. anthropic owes us an explanation.show more

Some good progress on vibe coding this Street Fighter-like... game. > Cursor with Opus 4.8 for majority of code > Spriterrific w/ Grok Imagine for animations Was a good learning experience compared to making a platformer Probably worth a full tutorial?show more

New Claude Sonnet 5 performs at GPT 5.5 level... 6x cheaper! We gave 4 models the same prompt: build three self-contained HTML5 canvas scenes with real physics crash demos Prompts: - A car crashes into a brick wall - A wrecking ball destroys a house - A catapult throws a rock at a castle wall Outputs: Sonnet 5: 15,047 tokens, $0.15 Opus 4.8: 23,063 tokens, $0.58 Sonnet 4.6: 25,824 tokens, $0.39 GPT 5.5: 31,152 tokens, $0.94 Sonnet 5 did as well as Opus 4.8 and GPT 5.5 on all three tests. In the wrecking ball test, it beat Opus 4.8. The cable moves smoothly and every hit connects. In the catapult test, it beat GPT 5.5. The rock always lands inside the wall. Sonnet 5 still needs better detail and graphics. But it used fewer tokens than every other modelshow more

This is how you unlock the next billion software... developers. The new Replit ⠕ Agent 3 (they just launched) is the most advanced vibe-coding agent in the world. 1. Smarter than any other vibe-coding model (10x more autonomous than the previous version). 2. It thinks harder and lasts longer than any other model (up to 200 minutes running fully autonomously). 3. The agent can now use an actual browser to test and fix its own code. 4. 3x faster and 10x more cost-effective than any other "Computer Use" for testing. 5. It can build other agents and automations to take care of repetitive tasks. Seeing the agent test the application autonomously is science fiction!show more

Fable 5, first Mythos-class model is live on AI/ML... API! We ran a fun test: Opus 4.8 vs Fable 5 are generating a 3D Pokemon. Verdict? Fable 5 is brilliant, fast, and rare as Mew… but Opus is still that nice little guy who does great stuff. 💛 Fable 5 Important bits: SOTA on nearly every benchmark, and the lead only grows on longer, complex tasks. • 1M Context • $10 / 1M input • $50 / 1M output Built for: long-horizon agentic coding, big migrations, vision-to-code, deep research.show more

The dev world is buzzing. 🐝 GPT-5 is here... and available for real-world coding tasks. What’s more? A brand new VS Code release for an editor that’s more powerful and intuitive than ever. (1/3)show more