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Cursor can now make to-do lists, search PRs, and queue messages 👾
[ Blog ] : https://cursor.com/changelog/1-2
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#AI #Agents #Cursor
@ProgrammingTip
[ Blog ] : https://cursor.com/changelog/1-2
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#AI #Agents #Cursor
@ProgrammingTip
Agents API is in public beta 🚀
OpenAI put the Agents API in public beta. Cloud agents with the Codex harness, managed sessions, tools, and either a hosted sandbox or one you bring yourself.
What shipped:
✅ Codex harness, not a chat-completions wrapper you have to babysit
✅ Managed sessions and tools in the API
✅ Hosted sandboxes, or bring your own
Public beta, so expect sharp edges. If you ship coding agents or anything that needs a real environment, this is the post to read. Not another model card. Call it if you are done stitching sessions, tools, and a VM by hand.
[ Read More ] :
https://openai.com/index/introducing-the-agents-api/
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#AI #LLM #Agents
@ProgrammingTip
OpenAI put the Agents API in public beta. Cloud agents with the Codex harness, managed sessions, tools, and either a hosted sandbox or one you bring yourself.
What shipped:
✅ Codex harness, not a chat-completions wrapper you have to babysit
✅ Managed sessions and tools in the API
✅ Hosted sandboxes, or bring your own
Public beta, so expect sharp edges. If you ship coding agents or anything that needs a real environment, this is the post to read. Not another model card. Call it if you are done stitching sessions, tools, and a VM by hand.
[ Read More ] :
https://openai.com/index/introducing-the-agents-api/
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#AI #LLM #Agents
@ProgrammingTip
OpenAI
Introducing the Agents API
Build and launch cloud agents with the Agents API, a managed service powered by the Codex harness for orchestration, long-running sessions, and tool use.
OpenAI introduced Dots, always-on agents 🚀
OpenAI introduced Dots, its take on always-on agents.
This is not a one-prompt, one-answer workflow. The pitch is an agent that can stay active around work instead of waiting for you to reopen a chat and restate the task.
Why this matters:
• Long-running work: agents need durable context, not a pile of copied prompts.
• Real handoff points: a useful agent should surface decisions and results, not silently keep doing things.
• Agent ops: permissions, logs, cancellation, and cost limits become product features.
If you build agent workflows, the hard part is no longer getting a model to call a tool. It is making an autonomous process observable enough that somebody will trust it.
[ Read More ] :
https://openai.com/index/introducing-dots/
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#AI #Agents #OpenAI
@ProgrammingTip
OpenAI introduced Dots, its take on always-on agents.
This is not a one-prompt, one-answer workflow. The pitch is an agent that can stay active around work instead of waiting for you to reopen a chat and restate the task.
Why this matters:
• Long-running work: agents need durable context, not a pile of copied prompts.
• Real handoff points: a useful agent should surface decisions and results, not silently keep doing things.
• Agent ops: permissions, logs, cancellation, and cost limits become product features.
If you build agent workflows, the hard part is no longer getting a model to call a tool. It is making an autonomous process observable enough that somebody will trust it.
[ Read More ] :
https://openai.com/index/introducing-dots/
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#AI #Agents #OpenAI
@ProgrammingTip
OpenAI
Introducing dots
Dots by OpenAI are proactive assistants that can keep working across complex projects and everyday tasks. Learn how dots help you stay in control while work moves forward.
Cloudflare shipped an agentic CLI for its API ⚡️
Cloudflare launched
This is a practical alternative to collecting one-off curl commands in a wiki or maintaining small admin scripts for every service. The CLI gives humans and coding agents one command-line entry point for Cloudflare operations.
Where it fits✅ :
• Inspect and change Cloudflare resources while debugging a service.
• Give an agent a constrained operational interface instead of raw dashboard access.
• Turn repeatable incident steps into checked-in commands and runbooks.
Do not hand an agent broad production credentials because it has a nice CLI. Use scoped tokens, separate environments, and audit the resulting changes.
[ Blog ] :
https://blog.cloudflare.com/cloudflare-cf-cli-launch
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#Cloudflare #CLI #DevOps #Agents #LLM
@ProgrammingTip
Cloudflare launched
cf, an agentic CLI for its full API surface.This is a practical alternative to collecting one-off curl commands in a wiki or maintaining small admin scripts for every service. The CLI gives humans and coding agents one command-line entry point for Cloudflare operations.
Where it fits
• Inspect and change Cloudflare resources while debugging a service.
• Give an agent a constrained operational interface instead of raw dashboard access.
• Turn repeatable incident steps into checked-in commands and runbooks.
Do not hand an agent broad production credentials because it has a nice CLI. Use scoped tokens, separate environments, and audit the resulting changes.
[ Blog ] :
https://blog.cloudflare.com/cloudflare-cf-cli-launch
〰️〰️〰️〰️〰️〰️
#Cloudflare #CLI #DevOps #Agents #LLM
@ProgrammingTip
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Cloudflare Blog
Introducing cf: the agentic CLI for the entire Cloudflare API
We are releasing cf, our new command-line tool that mirrors the entire Cloudflare API and supports programmatic TypeScript configuration. We are also open-sourcing Forge, our internal SDK generator.
Cloudflare shipped a Web Search API ⚡️
Cloudflare introduced a Web Search API. Search can now be a service call in the app stack instead of a pile of scraped HTML, brittle selectors, and browser automation.🏳️🌈
[ Read More ] :
https://developers.cloudflare.com/changelog/post/2026-10-02-introducing-web-search-api
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#AI #Cloudflare #Agents
@ProgrammingTip
Cloudflare introduced a Web Search API. Search can now be a service call in the app stack instead of a pile of scraped HTML, brittle selectors, and browser automation.
[ Read More ] :
https://developers.cloudflare.com/changelog/post/2026-10-02-introducing-web-search-api
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#AI #Cloudflare #Agents
@ProgrammingTip
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Cloudflare Docs
Introducing Web Search API · Changelog
Search the web from your AI agents and applications through AI Gateway with Ceramic.ai, Exa, and Linkup.
Give LLM tasks a restart point 💡
Long agent prompts fail badly when the only recovery path is "start over."
Split work into stages that produce an artifact your next call can inspect: a JSON plan, a file list, a patch, test output, or a short decision log. Store that artifact outside the chat context.
Good loop:
• Ask for a plan with explicit acceptance checks.
• Run tools or tests yourself.
• Send back the actual output, not "it failed."
• Ask for the smallest next change.
This also makes retries cheaper. If call three fails, rerun call three with the saved result from call two. Do not pay for the model to rediscover the repository and your constraints every time.
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#AI #LLM #Agents #DevTools
@ProgrammingTip
Long agent prompts fail badly when the only recovery path is "start over."
Split work into stages that produce an artifact your next call can inspect: a JSON plan, a file list, a patch, test output, or a short decision log. Store that artifact outside the chat context.
Good loop:
• Ask for a plan with explicit acceptance checks.
• Run tools or tests yourself.
• Send back the actual output, not "it failed."
• Ask for the smallest next change.
This also makes retries cheaper. If call three fails, rerun call three with the saved result from call two. Do not pay for the model to rediscover the repository and your constraints every time.
〰〰〰〰〰〰
#AI #LLM #Agents #DevTools
@ProgrammingTip
Stack Overflow for Agents is plugged into ChatGPT 🚀
Stack Overflow for Agents shipped a ChatGPT plugin, and Stack Overflow says it tripled signups.
This is the useful version of "put docs in an AI": a developer can pull trusted Q&A into the place where they are already writing, debugging, and asking for an explanation.
Why this matters:
• Fewer stale answers: agent output can be grounded in Stack Overflow content instead of whatever a model recalls.
• Better developer flow: search and answer retrieval happen inside the chat workflow.
• Content owners get a path in: useful technical knowledge can be exposed as an agent-facing integration.
If your team owns internal runbooks, this is a decent reminder: make the source searchable, structured, and permission-aware before wiring it to an agent.
[ Read More ] :
https://openai.com/index/stack-overflow-chatgpt-plugin
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#AI #ChatGPT #Agents
@ProgrammingTip
Stack Overflow for Agents shipped a ChatGPT plugin, and Stack Overflow says it tripled signups.
This is the useful version of "put docs in an AI": a developer can pull trusted Q&A into the place where they are already writing, debugging, and asking for an explanation.
Why this matters:
• Fewer stale answers: agent output can be grounded in Stack Overflow content instead of whatever a model recalls.
• Better developer flow: search and answer retrieval happen inside the chat workflow.
• Content owners get a path in: useful technical knowledge can be exposed as an agent-facing integration.
If your team owns internal runbooks, this is a decent reminder: make the source searchable, structured, and permission-aware before wiring it to an agent.
[ Read More ] :
https://openai.com/index/stack-overflow-chatgpt-plugin
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#AI #ChatGPT #Agents
@ProgrammingTip
OpenAI
Stack Overflow for Agents triples signups with ChatGPT plugin
Two engineers shipped Stack Overflow for Agents in a few weeks with Codex, and its ChatGPT plugin helped drive up to 10× growth in agent creation.
OpenAI shipped the Decisions API 🚀
OpenAI's Decisions API is built for apps that need to react while work is still moving, not wait around for one giant model response.
The practical shift is architectural: treat a model run as a stream of decisions your app can act on. UI updates, tool work, and state changes can happen as the task progresses.
Why this matters:
• Faster-feeling apps: show useful progress instead of a spinner.
• Cleaner agent loops: connect decisions to tools and app state.
• Less fake streaming: do not make users wait for a fully composed answer before the app can respond.
If your agent UX still feels like request, long pause, giant blob, this API is worth a look.
[ Read More ] :
https://openai.com/index/decisions-api
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#AI #OpenAI #Agents #API
@ProgrammingTip
OpenAI's Decisions API is built for apps that need to react while work is still moving, not wait around for one giant model response.
The practical shift is architectural: treat a model run as a stream of decisions your app can act on. UI updates, tool work, and state changes can happen as the task progresses.
Why this matters:
• Faster-feeling apps: show useful progress instead of a spinner.
• Cleaner agent loops: connect decisions to tools and app state.
• Less fake streaming: do not make users wait for a fully composed answer before the app can respond.
If your agent UX still feels like request, long pause, giant blob, this API is worth a look.
[ Read More ] :
https://openai.com/index/decisions-api
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#AI #OpenAI #Agents #API
@ProgrammingTip
OpenAI
Build more responsive apps with the Decisions API
Fast, focused, low-cost decisions for any application.
GPT-6.1 Terra is in the OpenAI API 🚀
OpenAI introduced GPT-6.1 Terra for developers who need computer use without paying for a slower, heavier model on every task.
Call it as
What to test first:
• Long UI runs: can it recover after a modal, redirect, or failed click?
• Tool boundaries: keep payments, deletes, and production writes behind explicit approval.
• Cost per completed task: token price is not the whole bill when retries are involved.
Computer use is getting cheaper. Your eval suite now matters more than a demo.
[ Read More ] :
https://openai.com/index/introducing-gpt-6-1-terra/
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#AI #OpenAI #API #Agents
@ProgrammingTip
OpenAI introduced GPT-6.1 Terra for developers who need computer use without paying for a slower, heavier model on every task.
Call it as
gpt-6.1-terra. The pitch is fast UI interaction, capable multi-step work, and lower standard pricing. That makes it a practical model to test for browser agents, QA flows, back-office automation, and anything that has to click through a real app.What to test first:
• Long UI runs: can it recover after a modal, redirect, or failed click?
• Tool boundaries: keep payments, deletes, and production writes behind explicit approval.
• Cost per completed task: token price is not the whole bill when retries are involved.
Computer use is getting cheaper. Your eval suite now matters more than a demo.
[ Read More ] :
https://openai.com/index/introducing-gpt-6-1-terra/
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#AI #OpenAI #API #Agents
@ProgrammingTip
OpenAI
Introducing GPT-6.1 Terra
Delivering fast and capable computer use at scale