Signadot

@CircleCI 3/3 Read the full article here: signadot.com/blog/circleci-… #AIDevelopment #CircleCI #Kubernetes #PlatformEngineering

@CircleCI 2/3 2x for the top 5%. Nothing for the bottom 25%.  We all have the same models. The difference is whether you’ve invested in infrastructure that can handle validating code at the speed of agents.

If you haven’t read the @CircleCI 2026 State of Software Delivery report, you should.  It shows a widening gap between the top performing teams and the rest of the industry when it comes to throughput gains from coding agents. 🧵

The AI agent problem isn't about "risk tolerance," it’s about capability boundaries. Arjun Iyer explains why standardizing the split between pattern work and judgment work is the key to actual velocity. Our latest post on @thenewstack: thenewstack.io/ai-agents-soft…

Shared staging is an expensive oversight. 💸 Most teams lose one hour per dev, per day to staging friction. For a 100-dev org, that is $1.5M in lost velocity annually. And this is only getting worse as agents increase PR volume exponentially. The Punchline: You do not need more staging. You need better isolation. Check out this article for the data: signadot.com/deep-dives/why…

The inner/outer loop divide is collapsing.  The technical limitations that created it have been eroding for years.  Now, coding agents are finally forcing the two-loop model to breaking point.  @arjuniyer_ wrote a piece on this and what comes next for @DZoneInc 👇 dzone.com/articles/inner…

@DoltHub 3/3 Full-stack isolation for agentic workflows is here. Read the guide: signadot.com/docs/integrati…

@DoltHub 2/3 In this guide, we show how to pair compute isolation with data isolation using our Dolt Resource Plugin: ✅ Create a Git-style DB branch when a sandbox starts. ✅ Run isolated test writes via Claude Code / MCP. ✅ Auto-delete the branch when testing is done.

🚀 New Tutorial: Database Isolation with Dolt Coding agents working in complex cloud-native systems need isolated environments that give them the feedback signals they need to validate their code against reality. We just launched a native integration with @DoltHub to give Dolt users seamless data isolation inside Signadot sandboxes. 🧵

4/4 This powerful combination means your agents can autonomously test and validate complex features concurrently—without the bottlenecks of traditional staging setups. Ready to close the loop? Check out the integration guide here: signadot.com/docs/integrati… #K8s #AI #Postgres #PlatformEngineering #DevEx

@xata 3/4 Data is the missing piece of the puzzle. 🧩 Xata integrates seamlessly to ensure every Signadot environment has its own instant branch of your Postgres. You get: ✅ Instant Copy-on-Write branching ✅ Anonymized production data ✅ Zero-downtime schema testing

We are excited to announce that Signadot is teaming up with @xata as an integration partner! 🤝 Enabling agentic workflows at scale requires realistic environments where agents can validate changes against complex dependencies and real data.

@IstioMesh 3/3 Without it, agentic velocity collapses back into human-level throughput. This is the new bottleneck. If you’re already using Istio, you can implement @signadot seamlessly and unblock it today. #PlatformEngineering #Istio #Kubernetes #Agents

@IstioMesh 2/3 This means exponentially more PRs. The solution is not optimizing how fast we review or spinning up thousands of duplicated environments. You need infrastructure that scales exponentially with your agents.

When agent-generated PRs move faster than your validation process, things break. Fortunately, @IstioMesh users are already 50% of the way to a fix. Let’s look at how: 🧵

Agents are writing code at machine speed, but your pipeline was built for human output. 🚦 Don't let validation become your bottleneck. Learn how scalable ephemeral environments and @IstioMesh can help you validate code at the speed that agents generate it.  Read our new article in @thenewstack 👇 thenewstack.io/ai-agents-isti… #kubernetes #istio #platformengineering #AI

@stripe @OpenAI 3/3 Platform engineering teams building for agentic workflows need to treat their feedback infrastructure as a first-class capability. Our CEO, Arjun Iyer, wrote a piece for @thenewstack on this recently.👇 thenewstack.io/coding-agents-… #AI #PlatformEngineering #Kubernetes

2/3 Companies like @stripe and @OpenAI have documented their shift in focus to building better feedback loops, and how it has translated to real velocity gains. They have learned a key lesson: agents are only as good as the signals they receive to validate their own work.

1/3 We have seen a massive acceleration recently in the productivity of coding agents, and it is not being driven by a model update. 🧵