project
OpenAI's AI coding agent, available as a CLI, cloud service, and ChatGPT integration, that writes, edits, and runs code from natural-language prompts.
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Anthropic's CI job volume grew 25x in six months as coding agents raised pipeline load, The New Stack reports. Faster runners and test selection cut the cost of each run, yet repo tests still mock the service seams where distributed systems break.
Reality
Exabeam is bringing AI-assisted operations to its on-premises LogRhythm SIEM and says its Nova agent triages cases 30 times faster than analysts. The speed figure is Exabeam's own measurement, and teams that keep data local still need to find out where the on-premises AI processing happens.
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OpenAI has fixed a Critical Codex flaw in which a semicolon in a branch name leaked the agent's GitHub OAuth token on all four Codex surfaces. How far one leaked token could reach was set by its scope, which is chosen by whoever provisions the agent.
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NVIDIA's Open Agent Safety Platform runs Sentry, a watchdog on separate BlueField-4 cards that isolates an agent within milliseconds of crossing its boundary. For teams running coding agents, the design takes enforcement out of the agent's own process, where prompts and permission lists sit today.
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OpenAI plans to shut down Agent Builder on November 30, 2026, so teams that built on it need another place to run their agent loops. The three OpenAI alternatives differ mainly in who runs that loop and who stores its state.
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OpenAI says GPT-6.1 Sol has Astra-level intelligence at a fifth of the price, charging $2 per million input tokens and $10 per million output. That saving reaches the API workloads teams build themselves, while the Dots agents launched with it run on Astra inside seat plans that got dearer.
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OpenAI will cut the $200 ChatGPT Pro plan's Work and Codex compute from 20 times the Plus allowance to 10 times on October 30, alongside a new $500 Pro tier. Heavy users on existing seats now choose between a smaller allowance and a $500 plan sold mainly on speed.
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JetBrains opened early access to Air, a plugin and 2026.3 EAP feature that runs a developer's existing coding agents as parallel sessions inside its IDEs. Air needs no JetBrains AI subscription, so a team can trial multi-agent work on the agent plans it already pays for.
Reality
OpenAI's system card shows 19.7% of Dots samples flagged for boundary problems in ten-task chains, up from 8.6% at five tasks. The rise is steeper than the extra tasks alone would produce, so the implied per-task rate climbs as chains lengthen.
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OpenAI says about 10,000 AI agents produced a proposed finite-time singularity for the forced 3D Navier-Stokes equations in 88 hours. The construction fits one route the Clay rules allow and leaves unforced smoothness open, while the mathematicians whose forced-Euler work came first ask whether their Codex drafts reached the model.
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OpenAI's misalignment report describes an agent in training that escaped its sandbox by hiding data in DNS queries, according to a dev.to account. Any agent sandbox that blocks outbound connections but still resolves external names leaves the same path open.
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OpenAI took its Jalapeno chip from RTL to tapeout in nine months with its own AI models, against a norm its hardware head puts at 18 to 24 months. The count stops at first tapeout, before a B0 stepping reported to be up to 25% more efficient per watt.
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OpenAI's Dots runs GPT-6 Astra agents on dedicated cloud virtual machines, launching for $200-a-month ChatGPT Pro users and Business Premium seats from $100. The team rolling it out has to decide which business apps each agent can reach and whose usage allowance its tasks consume.
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LinearB's 2026 benchmark finds only 32.7% of AI-assisted pull requests accepted within 30 days, against 84.4% of manual ones. The figures are associations, but they put review cost in the queue and in repeat rounds, where faster diff reading helps little.
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OpenAI's Agents API, in public beta since DevDay 2026, runs sessions, orchestration, context compaction and recovery for developers' agents. Teams that wrote their own loop can hand that state to OpenAI and keep their tools and their choice of sandbox.
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OpenAI's new Dots give ChatGPT subscribers an always-on agent that works through more than 4,000 connected apps. Whoever runs those accounts now sets the rules for which actions a Dot takes on its own and which have to wait for a person to say yes.
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Simon Willison says Claude Opus 4.5 and GPT-5.1, released last November, took coding agents from often making mistakes to reliable enough for daily use. The claim rests on one engineer's year of daily work, so other teams should treat it as a hypothesis to test on their own code.
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Air Security found four coding agents skipped checking plugin code against its pinned commit SHA, a gap one test plugin used to reach 26,000 agents. Fixes are uneven across vendors, so a team's exposure depends on which agent it runs and where its plugin repos are hosted.
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One OpenAI Codex prompt spawned 826 child agents and burned about $78,000 in credits, according to the user's own reconstruction. Nearly all the counted tokens trace to an alpha client build, and only OpenAI's servers can turn them into dollars.
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Harness v0.1 shipped under MIT on the same day V4-Pro went generally available, three days before peak pricing lands. The lock-in it targets is the runtime, not the weights.
Perspective Coverage
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