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ExternalDatabase
PostgreSQL News

Postgres Summit US 2026 Schedule is now live!

Hi all, The talk schedule for Postgres Summit US 2026 is now published. Browse it here: Talk Schedule The summit runs September 30 through October 2, 2026 at Convene, 555 Broadway, New York, NY, organized by the United States PostgreSQL Association (PgUS). You can also view individual sessions and register on the event site. Hope to see you in New York!

PostgreSQL NewsRead original
ExternalDatabase
PostgreSQL News

Autobase 2.10 released

Autobase 2.10 expands day-to-day PostgreSQL operations with new cluster management capabilities. Administrators can now perform common cluster actions directly from the Console UI, configure advanced system settings, deploy clusters using the local disk, and automate maintenance with an extended set of Ansible playbooks. See the full details in the release notes. Highlights Cluster management actions Autobase Enterprise includes an Actions menu that allows administrators to perform common Postgr

PostgreSQL NewsRead original
ExternalFrontend Development
Vercel Blog

Free domain now included with new Pro subscriptions

New subscriptions now include a domain free for the first year. Pro The offer covers six TLDs: .online.site.space.store.tech.website Each team has 30 days after subscribing to claim one domain, either at checkout or later from the in the dashboard.domain search After the first year, your domain will at the regular price shown at checkout when you claim it.renew automatically See the for the full terms.free domain FAQ Read more

Vercel BlogRead original
ExternalDatabase
PlanetScale Blog

Concurrency vs. Throughput: why more parallelism can make databases slower

Not long ago we watched a production MySQL database melt down for sixteen minutes. The errors started as a trickle, a handful per minute, then fed on themselves: minute errors/min queries/s 0 5 15,000 <- a burst of work arrives 2 60 3,900 4 300 2,500 6 550 2,000 8 900 1,900 10 1,400 1,500 <- error peak = throughput trough 12 700 1,700 14 250

PlanetScale BlogRead original
ExternalSoftware Engineering
GitHub Changelog

Set pull request limits at the organization level

You can now set pull request limits at the organization level. Pull request limits let you define how many open pull requests a user without write access can have at… The post Set pull request limits at the organization level appeared first on The GitHub Blog.

GitHub ChangelogRead original
ExternalSoftware Engineering
DEV Community

Every vendor says they detect AI agents. None of them can.

This is going to be an unpopular one, and I would like to be argued out of it. A capable agent driving a real browser on a residential connection is indistinguishable from a person by construction. Not "hard to distinguish". Not "we are working on it". By construction — because every property you can measure is genuinely present. The browser is real, so the fingerprint is real. The connection is a home connection, so the address is clean. The mailbox is real, so the code arrives. Automation flag

discusssecurityai
DEV CommunityRead original
ExternalSoftware Engineering
DEV Community

Your bot detection works perfectly. That's the problem.

Every bot signal we have is a proxy for one question: is a human here? Device fingerprint says a real browser. IP reputation says a home connection, not a rented server. Email verification says someone opened the mailbox and clicked. Behavioural analysis says the mouse moved like a person's. A capable AI agent has all of those things. It drives a real browser, because that is how it browses. It runs on a residential connection, because that is where the person who deployed it lives. It controls

discusssecurityai
DEV CommunityRead original
ExternalSoftware Engineering
DEV Community

No Backtesting Needed! I Punched My Hypothesis's "Heart" Directly with Raw Data and It Died Before I Even Measured Returns

Hey there, it's your old man developer. I'm a 38-year-old side-hustle engineer, tinkering with AI agents and automated trading bots on weeknights and weekends. Developing an automated trading bot often means a long road after you get an idea. Translating a strategy into code, backtesting it with historical data, tuning parameters... it can easily take weeks. And usually, most ideas get trashed at the backtesting stage with a simple "this is useless." This kind of rework is soul-crushing for a so

aipythonautomation
DEV CommunityRead original

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