@claudeai The research request form's success response seems to be still coded for "Fast" mode requests
"Thanks for your interest in fast mode for Claude Opus 4.6 on the Claude Developer Platform."
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Chad Boyda
2.3K posts
Chad Boyda
@chadboyda
@AppSumo CTO / Product 🌮
Austin, TX เข้าร่วม Temmuz 2007
1.9K กำลังติดตาม1.6K ผู้ติดตาม
Build and deploy your agents through the Claude Console, Claude Code, or our new CLI: platform.claude.com/workspaces/def…
Read more on the blog: claude.com/blog/claude-ma…
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Introducing Claude Managed Agents: everything you need to build and deploy agents at scale.
It pairs an agent harness tuned for performance with production infrastructure, so you can go from prototype to launch in days.
Now in public beta on the Claude Platform.
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I got tired of getting the same boring outputs from AI, especially Claude. Work arounds were high friction and tedious. So I created a skill to fix it. Now I just prefix any prompt with /refract to unlock all of the models creativity 🌈✨
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Living through the birth of AI feels a lot like raising a child. Everytime you feel like things are stabilizing and you finally have a good rhythm going. Bam. Sleep regression.
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This is literally what keeps me up at night lately. There’s no stopping it. The wave and depth of the of coming cyberattacks is a global tsunami. There’s no high ground. This is your last chance to grab a life vest.
Elizabeth Holmes@ElizabethHolmes
Delete your search history, delete your bookmarks, delete your reddit, medical records, 12 yr old tumblr, delete everything. Every photo on the cloud, every message on every platform. None of it is safe. It will all become public in the next year Local storage and compute 📈
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Game changer! Take @gepa_ai optimization runs to new SOTA benchmark records by enabling web search tools (native in most models now) in your reflection model. Encourage it to use the tool. I had to make a small custom instruction producer in DSPy to do it, but the results are mind blowing 🤯
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I don’t get all the fuss. Just make OpenClaw use the Claude Agent SDK? What’s the big deal?
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@antoine_chaffin @EmreCoklar @jeffreyhuber @mixedbreadai @HammadTime The answer I was looking for, thank you! Makes sense win+win
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@EmreCoklar @jeffreyhuber @mixedbreadai Both are additive, Context-1 is the LLM (so replacing GPT-5/OSS-GPT) in our runs :)
I am looking forward to seeing the results of Context-1 with Reason-ModernColBERT, already matching the 120B OSS would be wild results!
Cc @HammadTime
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the bitter lesson is coming for search
we're open-sourcing Context-1 - a model that is better, faster, and cheaper than any frontier model at searching
we published a 40-page technical report on our website with the ins and outs of how we did it.
this is just step 1
Chroma@trychroma
Introducing Chroma Context-1, a 20B parameter search agent. > pushes the pareto frontier of agentic search > order of magnitude faster > order of magnitude cheaper > Apache 2.0, open-source
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@dhruvmt2 @LakshyAAAgrawal @bo_wangbo @karpathy They always want to learn the hard way, but eventually they get there 😆
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AutoResearch from @karpathy is about optimizing params, optimiser, arch. Yesterday i turned it into an agent iteratively discovers quality problems in web text and automatically build heuristic fixes — validated by training gpt2 and measuring BPB, it's working well on Fineweb2!
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Does this mean I can finally live out my dreams of running RLM's on production data? 😮 @a1zhang
Mike Freedman@michaelfreedman
Introducing TigerFS - a filesystem backed by PostgreSQL, and a filesystem interface to PostgreSQL. Idea is simple: Agents don't need fancy APIs or SDKs, they love the file system. ls, cat, find, grep. Pipelined UNIX tools. So let’s make files transactional and concurrent by backing them with a real database. There are two ways to use it: File-first: Write markdown, organize into directories. Writes are atomic, everything is auto-versioned. Any tool that works with files -- Claude Code, Cursor, grep, emacs -- just works. Multi-agent task coordination is just mv'ing files between todo/doing/done directories. Data-first: Mount any Postgres database and explore it with Unix tools. For large databases, chain filters into paths that push down to SQL: .by/customer_id/123/.order/created_at/.last/10/.export/json. Bulk import/export, no SQL needed, and ships with Claude Code skills. Every file is a real PostgreSQL row. Multiple agents and humans read and write concurrently with full ACID guarantees. The filesystem /is/ the API. Mounts via FUSE on Linux and NFS on macOS, no extra dependencies. Point it at an existing Postgres database, or spin up a free one on Tiger Cloud or Ghost. I built this mostly for agent workflows, but curious what else people would use it for. It's early but the core is solid. Feedback welcome. tigerfs.io
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feel like im living dangerously using 50% at 1M
like driving 65mph around a mountain switchback,
definitely going off a cliff at any moment
Thariq@trq212
Claude Opus 4.6 with 1M context is now included in Max, Team, and Enterprise subscriptions. Select it with /model. It now counts against your normal plan limits, no extra usage required.
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What do you use to have Claude Code do a full security sweep of your codebase?
My go-to is “Run a deep OWASP security sweep of the full app, all APIs and any internal services. Report in descending severity and suggest solutions using the AskUserQuestion tool.” in plan mode.
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One question I've been asking founders is: do you try to review all the code that the LLMs write or do you just accept it?
I think it's about 50-50 right now but the momentum is towards just accepting the AI-generated code and I think that number will eventually go to 100%
This is one of the most telling indications of how AI-native a team is. It's hard to get super high throughput if you are reviewing every line
Poll: what do you do?
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thanks to @karpathy , now i have cracked the mystery why my agent doesn't follow my instruction closely enough.
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OK, well. I ran /autoresearch on the the liquid codebase.
53% faster combined parse+render time, 61% fewer object allocations.
This is probably somewhat overfit, but there are absolutely amazing ideas in this.
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@claud_fuen @rafalwilinski Not from Cowork and many other secure sandboxes
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“MCP is dead” misses the point
MCP isn’t about tools. It’s about OAuth
If that seems pointless, you haven’t deployed anything beyond a demo
@levelsio@levelsio
Thank god MCP is dead Just as useless of an idea as LLMs.txt was It's all dumb abstractions that AI doesn't need because AI's are as smart as humans so they can just use what was already there which is APIs
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@Andercot Disagree, most skills are SOPs, which are specific to each org, you still need a useful way to communicate this to the agent
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I give it about 3-6 months before any kind of skills.md file is also pointless.
The same thing happened to vector databases and langchain and every other 'product' built in the narrowing gap of model competencies.
@levelsio@levelsio
Thank god MCP is dead Just as useless of an idea as LLMs.txt was It's all dumb abstractions that AI doesn't need because AI's are as smart as humans so they can just use what was already there which is APIs
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@tylerangert @trq212 Same, I have to exit the plan and switch out of plan mode to make it stop, past 2.5 days
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hey @trq212 there's a bug in CC where after approving a plan claude will keep asking you to reapprove the plan or it mistakenly thinks you want to make edits to the plan
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