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AI development is rapidly moving from chat-based assistants to autonomous agent systems. OpenAI's latest announcements provide a good example of this shift. At DevDay 2026, OpenAI announced more than 20 updates covering models, ChatGPT, Codex, APIs, and developer tools.
O que é isso? O FydelisOffice não é uma adaptação, não é um fork e não é uma versão modificada de nenhum software existente. É uma suíte de aplicativos de escritório construída inteiramente do zero, pensada para ser leve, rápida e verdadeiramente independente — nascida em Salvador, na Bahia, e…
Building an AI agent is getting easier. Running one reliably in production is still the hard part. At Interrupt 2026, LangChain introduced a major set of updates focused on production agent infrastructure.
When an AI agent hands you a diff, reading it line by line is the last step, not the first. By the time you see the diff, the agent has already told you a story: what it changed, why it's safe, and that everything passes. A senior review checks that story against evidence.
For the past few weeks I've been building Aegis-DevOps, an open-source check that sits in front of the shell commands an AI coding agent runs. Before Claude Code, Codex, Copilot, Cursor or Gemini CLI runs kubectl, terraform or aws, a hook hands the command to Aegis, and Aegis blocks it if your…
What shipped in cycle 80 Two new paid x402 endpoints ($0.0005 USDC each) for AI agents that need to make decisions about external domains: /api/cdn-detect?url= CDN-edge fingerprint detector.
This is a submission for the Kaggle Benchmarking Challenge. Public leaderboards love telling us how well models solve LeetCode problems or pass high school exams.
Originally published on my blog. This cross-post includes the setup and measured results; the linked records and configuration kit let you inspect the experiment. My RTX 3090 is a leftover from my Ethereum mining days.
Launching five agents on one large issue does not create five independent units of progress. If all five edit the same module, interpret the same vague requirement, and compete for one integration decision, the team may have created a queue of conflicting patches.
I build ccdeck, a local dashboard for Claude Code and Codex sessions. This is the story behind it. Four agents running, and the machine has been quiet for twenty minutes. One of the four had stopped to ask me something — a permission prompt for a shell command — and I had not seen it go by.
Saving a 1950s Constructed Language with Rust, Tauri v2, and Svelte 5 This article is submitted for the Hacktoberfest Weekend Challenge. In 1955, a sociologist and science fiction writer named Dr.
If you use web interfaces like ChatGPT, Claude.ai, or Gemini for complex engineering tasks, keeping the model informed of your repository state is cumbersome. You either upload messy zip files or copy-paste dozens of files manually.
Beyond One-Shot Success: How AREX-2 Teaches LLM Agents to Reflect and Persevere Current autonomous LLM agents are often evaluated by their ability to solve a task in a single pass or through a short sequence of scripted interactions.
Social media platforms have revolutionized the business world by enabling companies to market their products and services digitally and reach new customers easily. Popular sites such as Instagram, Facebook, and LinkedIn have given businesses a reliable avenue to market digitally.
Limits, before anything else. 21 attempts on one defect are repeated observations, not 21 independent tests. One seeded bug: an inverted authorization check in material I wrote myself. Run on 21 August 2026. One small local model. The alias local-advisor-v1:latest is local.
The AI Data Satiation Point: Why "Wild" AI Text is Breaking Chinchilla Scaling Laws As we approach the end of 2026, the internet looks fundamentally different than it did just two years ago.
AI agents are increasingly where engineers plan, write and debug. But their work can often be thwarted at the first protected web page. The agent times out, mistakes a consent screen for the content or falls back on stale training data.
Weather data is easy to find. Useful weather data for a specific location at the exact moment a decision needs to be made is a different problem. For amusement parks, stadiums, outdoor events, sports facilities, construction sites, and other weather-sensitive environments, a regional forecast may…
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