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jfrog

Don't Break the Agent: Lessons in Token Optimization

Aug 20, 2026 By Shay Dahan In JFrog
This one is for the curious souls who wonder how somebody actually builds a harness optimizer — and, more to the point, how they know it works. When we launched JFrog Boost into public preview, we told the story of the bill that broke us and the 100 billion tokens we clawed back across JFrog R&D. What that post didn’t cover is the question that consumed most of our engineering time: how do you measure any of this?
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gitkraken

You Aren't As Behind As You Think

Aug 20, 2026 By Chris Griffing In GitKraken
If you look at the people posting to social media the most about AI, you’ll probably feel left behind. They’re running dozens or hundreds of agents and probably shipping more than you. But, they are not representative of the rest of the dev world. They are the 1% of the 1%. The thing that might be missed is that you reading their posts is probably separating you from a much larger cohort of devs that are still trying to figure out how to use AI effectively in their day to day work.
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appsignal

MCP Won't Replace Your Monitoring Tool

Aug 20, 2026 By Dejan Lukić In AppSignal
MCP is generating a lot of hype nowadays (but then again, almost anything that emerges in AI seems to attract hype). The anticipation around it is similar to the level of excitement that would break out if Apple were to finally introduce USB-C to iPhones. To be fair, though, some of that hype is warranted, considering the fact that MCP provides a standardized approach to connecting agents with third-party tools, which significantly simplifies this type of integration (hence the USB-C analogy).
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upsun

How task containers give AI agents real infrastructure without idle cost

Aug 20, 2026 By Upsun In Upsun
Infrastructure for AI agents usually forces a choice between two bad options. A sandbox is safe but blind, cut off from the data and services that would make the agent's output useful. Full access means paying to keep a container idle between runs, waiting on a prompt that might not arrive for hours. Task containers, which Upsun released on August 12, 2026, are built to avoid that choice. A task container is a single-purpose container defined in a project's.upsun/config.yaml file.
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Why AURA Scratchpad Is Rad: Bound the AI SRE Agent Context Window

Aug 20, 2026 By Mezmo In Mezmo
A big tool result does not have to be a big context cost. AURA moves it to disk and hands the model a pointer plus the tools to navigate what is there. A large MCP tool result can consume or overflow an agent's context window, and on a third-party server you do not control how much comes back. Scratchpad breaks the link between how big a tool result is and how much context it costs: the full output goes to disk, and only the slice the model asks for ever enters the window. Errors always pass through inline, so the model can react to them.
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lightrun

Why AI Agent Architecture Needs a Runtime Context Layer

Aug 20, 2026 By Lightrun Team In Lightrun
Every AI agent architecture diagram shows the same five layers: perception, memory, reasoning, action, and feedback. Each layer assumes the one before it worked correctly, and none of them can confirm that once the agent runs against live production data. Runtime context is the sixth layer most designs leave out, and it’s the one that decides whether any of the other five can be trusted.
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gitkraken

Everyone Feels Faster. Almost Nobody Can Prove It.

Aug 20, 2026 By Jade Nangah In GitKraken
What 554 developers and engineering leaders told us about AI, agents, and the measurement gap nobody’s closing. Ask a developer if AI made them faster this year, and 84% will say yes. Ask their VP to put a number on it for the board, and 39% will have nothing to show. That gap, not adoption, is the real story in engineering right now.
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Redgate Flyway Enterprise MCP for AI and Agentic Workflows

Aug 20, 2026 By Redgate Software In Redgate
Huxley Kendell demonstrates how Redgate Flyway Enterprise enables safe, governed, and deterministic integration of AI and agentic workflows into database development processes. Local Workflows Huxley showcases how developers can use an MCP server to interact with Flyway Enterprise through local AI tools like Claude. Agentic Workflows The demo presents a future-ready, fully agentic workflow designed for enterprise automation through an autonomous copilot.
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c1

Safeguarding Education in an AI-Powered World

Aug 20, 2026 By C1 In C1
Education is becoming more connected than ever across classrooms and campuses. Students learn through cloud platforms. Teachers use digital tools to collaborate and engage students. Institutions rely on connected systems to manage research, administration, communications, and campus safety. Technology is not just creating new possibilities for education, but it is also introducing new risks. Behind every device, application, and online account is a piece of valuable information.
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speedscale

Reliability Engineering in the AI Era

Aug 19, 2026 By Matt LeRay In Speedscale
Engineering leaders have been claiming to “shift quality left” for years but production remains stubbornly stuck out of reach of software engineers. The realm of production remains mysterious with tools no one has access to and UIs that wouldn’t make sense to engineers anyway. I’ve noticed a small but growing trend of large enterprises hiring Reliability Engineers instead of Site Reliability Engineers. Dropping one word looks cosmetic but I think it points to a much bigger change.
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