Auto-aggregated global tech articles · 853 posts
TL;DR: The best GPT-6 Astra examples so far are not simple chatbots. They are playable games, 3D worlds, CAD workflows, Blender experiments, computer-use demos, model-routing tools, and agent orchestration projects. The next step is grounding those creations with real data. That is where Valyu fits:
I built a "do-anything" agent. It could search the web, edit files, send Slack messages, open PRs, query Postgres, and summarize PDFs. On the demo slide it looked like a junior engineer. In production it looked like one on three espressos and no ticket. It booked the right meeting on the wrong cal
What the industry warning actually means for the code you shipped last sprint Last year I watched a "quiet" internal API get hammered at 3 a.m. It wasn't a person. It was a script that read our public docs, inferred an undocumented endpoint, and walked our validation logic faster than any human
Agentic Development, Part 1 How do you develop software when agents write the code? Not someday. Now. Within a few weeks, my solo open-source project had more than 100 open issues. At the same time, an AI agent team was producing pull requests faster than I could properly review them. I
About two weeks ago, I left my previous company. I didn't start looking for a new job right away. I went to Wudang Mountain for a few days first, walked around, took a break, and let myself slow down a bit. When I got back, I started looking. I've been in QA for 15 years. I've done functional test
Designing account-level isolation for a multi-environment Snowflake account: one environment, one identity, one grant at a time. Nine databases, fifty-five roles, and a handful of controls I built the shape for before I had the infrastructure to turn them on. Snowflake account provisioning · 15-sec
I recently used AI as the primary development interface for a small WeChat mini game called Weiguang Xinyu. The one-day result was a working ten-level Canvas2D puzzle, an original background track, a passing local test suite, and a successfully uploaded development build. The public release followe
OpenAI has published a rare internal view of how coding agents are changing its AI research work. The company says agents are now routinely used by researchers, with usage reaching 3.1 agent-workdays for every human workday across its research organization in mid-August 2026. The data release matter
With the growing interconnectedness of manufacturing systems every year, machines, sensors, cameras, RFID readers, PLCs, MES, ERP and other IoT devices generate and send a torrent of operational data. While data acquisition has gotten simpler, the problem lies in efficiently using and analyzing it f
USDC Escrow for AI Agents: How Trustless Freelancing Actually Works Published on dev.to – a practical guide for developers building autonomous agents Why USDC? When an AI agent needs to purchase a service (e.g., a language‑model call, a data lookup, or a compute job) from another
Give a system one character: . Then we ran that same period through three conditions. The runs Condition What entered the run What happened Bare Astra . with no tools, memory, system instructions, or conversation It replied in 1.697 seconds: “Hi! What can I help you with
x402 Explained: HTTP‑Native Micropayments for AI Agents (With Real Code) Introduction When autonomous AI agents need to call external services—LLM inference, data feeds, compute functions—they often encounter two practical problems: Payment friction: Traditional API keys or subscript
When we started axem, we set out to solve a problem that most of the AI industry has quietly decided to ignore: Why should being regulated mean being left behind on AI? Defense organizations, aerospace primes, and regulated enterprises don't get to use the AI tools everyone else takes for granted.
We keep a written do-not-build list. Vinted has been on it for months, with a one-line reason: DataDome, plus a saturated incumbent at 108k runs and a 5-star rating. That is a perfectly sensible thing to write down. It was also wrong, and it took us 19 days to find out — not because the wall was har
Every engineering team that has scoped an AI feature has hit the same wall. You ask a vendor "what will this cost" and you get a range so wide it's basically useless. $20,000. $500,000. $2 million. All technically correct answers depending on what you're building. This isn't vendors being cagey. AI
"But... how did you know what to write?" That's what Greg Baugues' daughter asked him after her first encounter with vibe-coding. She was curious if there was a time when we had to type symbols, one by one. It isn't about what symbols to type Coding used to be about the craft: Mastering
Every MCP server I run starts its life the same way: an initialize handshake, an Mcp-Session-Id that pins every later call to one process, state held server side. The 2026-07-28 revision of the Model Context Protocol deletes all three. I read the changelog twice. The first pass felt like relief. My
Last week I shipped CVE-2026-22708 coverage to secops-toolkit-mcp, my toolkit of defensive SecOps helpers for AI coding agents. The CVE is a Cursor terminal allowlist bypass. A malicious file sitting in your project directory can turn an allowed command into an arbitrary one. Then I tested the chec
An AI agent completes its task in staging. But can it access another customer’s records, follow instructions hidden in a retrieved document, or take an action without approval? Before shipping, define which failures should stop the release. For a support agent, that might mean: Accessing records
I kept shipping APIs I hadn’t really looked at. I’d ask whatever assistant was open Cursor, Claude, Antigravity, Trae for a users endpoint. It generated the route, the DTO, the response. The page rendered. I moved on. Then I opened DevTools → Network. Full objects on a list view Nulls everywhere
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