it writes a single codemode script which runs it in a loop
and then you visualize it step by step even though it's code
it writes a single codemode script which runs it in a loop
and then you visualize it step by step even though it's code
and then your agent native supports codemode
now everything is going through an extra useless layer
if you insist on doing this plz provide a more raw mcp endpoint
and then your agent native supports codemode
now everything is going through an extra useless layer
if you insist on doing this plz provide a more raw mcp endpoint
this means it can handle infinite mcps, custom tools, apis, etc
and it's the simplest implementation we've seen
this means it can handle infinite mcps, custom tools, apis, etc
and it's the simplest implementation we've seen
connect the mcp server, ask your agent to make a new scene and get a link. you can point out areas for feedback and prompt it further
works beautifully with opencode2's codemode
connect the mcp server, ask your agent to make a new scene and get a link. you can point out areas for feedback and prompt it further
works beautifully with opencode2's codemode
the models are incredible at doing this via codemode. the whole script didn't even fit in the screenshot
composing these tools together to get what it needs
the models are incredible at doing this via codemode. the whole script didn't even fit in the screenshot
composing these tools together to get what it needs
this is pretty much a non-negotiable thing at this point
this is pretty much a non-negotiable thing at this point
i still don't add a ton up front but occasionally i'll come across another good use case
and over time my agent gets more and more capable - esp with project specific ones
i still don't add a ton up front but occasionally i'll come across another good use case
and over time my agent gets more and more capable - esp with project specific ones
but if astra really wants to write raw python, should we even be fighting that and making it use our own thing? 2/3
but if astra really wants to write raw python, should we even be fighting that and making it use our own thing? 2/3
Models mostly output Bash scripts anyway and they should probably *only* output Bash scripts.
Structured output can be produced from bash scripts.
but it's getting very good now
Models mostly output Bash scripts anyway and they should probably *only* output Bash scripts.
Structured output can be produced from bash scripts.
pydantic.dev/articles/pyd...
pydantic.dev/articles/pyd...
#MCP #AIDrivenDevelopment #DevTools #ContextEngineering #CodeMode #ClaudeCode #Codex #Gemini #OpenCode #KiloCode #Cursor #CodeGraph #devbubble
#MCP #AIDrivenDevelopment #DevTools #ContextEngineering #CodeMode #ClaudeCode #Codex #Gemini #OpenCode #KiloCode #Cursor #CodeGraph #devbubble
i've been meaning to try it for some time, and paired with sonnet it's just opened up really cool stuff for us we couldn't do with major providers...
i've been meaning to try it for some time, and paired with sonnet it's just opened up really cool stuff for us we couldn't do with major providers...
Seeking co-authors with real-world agent data.Read & apply → datalayer.ai/research/con...
#LLMAgents #AIEngineering #OpenScience
Seeking co-authors with real-world agent data.Read & apply → datalayer.ai/research/con...
#LLMAgents #AIEngineering #OpenScience
- many people don’t what the point of DSLs are
- codemode/full computer use is the current meta and north star
- most people read the bitter lesson to mean “let the model figure out everything from scratch”
- designing DSLs is hard
- many people don’t what the point of DSLs are
- codemode/full computer use is the current meta and north star
- most people read the bitter lesson to mean “let the model figure out everything from scratch”
- designing DSLs is hard
#LLM #Agents
LLMがツール呼び出しよりもコード作成に適しているという考えに基づいたツールです。
LLMはTypeScript/JavaScriptコードを記述し、HTTPプロキシを介してMCPサーバーにアクセスします。
これにより、複雑なツール連携の利点を活用しつつ、LLMが得意なコード作成に集中できます。
LLMがツール呼び出しよりもコード作成に適しているという考えに基づいたツールです。
LLMはTypeScript/JavaScriptコードを記述し、HTTPプロキシを介してMCPサーバーにアクセスします。
これにより、複雑なツール連携の利点を活用しつつ、LLMが得意なコード作成に集中できます。
(initial side-quests: golden-gate-gemma-J-space, virtual tools + git-ified codemode, RegimeBenchmaxxing via RLAIF, Lean-4-fun-and-profit, SOTA full-press AI Diplomacy, CUDA-specialist SLMs)
(initial side-quests: golden-gate-gemma-J-space, virtual tools + git-ified codemode, RegimeBenchmaxxing via RLAIF, Lean-4-fun-and-profit, SOTA full-press AI Diplomacy, CUDA-specialist SLMs)
www.microsoft.com/en-us/resear...
www.microsoft.com/en-us/resear...
I'm a little sad this is focusing so much on codemode / MCP / Agents. IMO the feature is *much* more interesting than that. If you need to run untrusted code securely and cheaply, you need something like DWL.
I'm a little sad this is focusing so much on codemode / MCP / Agents. IMO the feature is *much* more interesting than that. If you need to run untrusted code securely and cheaply, you need something like DWL.
We compare CodeMode vs no CodeMode with reproducible GitHub Actions workflows. Less context → fewer tokens → lower cost.
🎥 Demo: www.loom.com/share/1edbbe...
Report deep dive next.
We compare CodeMode vs no CodeMode with reproducible GitHub Actions workflows. Less context → fewer tokens → lower cost.
🎥 Demo: www.loom.com/share/1edbbe...
Report deep dive next.
Most AI agents keep sending the same context back to the LLM.
CodeMode keeps execution inside a **Code Sandbox**, sending only what's needed for the next decision.
Fewer tokens. Lower cost. Faster agents.
datalayer.ai/guide
#AI #AIAgents #LLM
Most AI agents keep sending the same context back to the LLM.
CodeMode keeps execution inside a **Code Sandbox**, sending only what's needed for the next decision.
Fewer tokens. Lower cost. Faster agents.
datalayer.ai/guide
#AI #AIAgents #LLM