Read more of this story at Slashdot.
Read more of this story at Slashdot.

Itâs a question many engineering teams arenât ready to answer honestly.
Partly because the answer changes depending on who you ask, and partly because the two emerging answers point in completely opposite directions.
Iain Bishop, CEO of Damala Technology and a former CTO with over two decades of experience, believes that “there are uneven gains with AI at the moment.”
Some teams are moving fast – shipping more, experimenting, shaping decisions, and owning outcomes. Others are still treating AI like a smarter autocomplete, focusing on infrastructure and reliability. The gap between these groups, Iain believes, is only going to grow.
Most teams today are still operating in what Iain describes as the copilot phase.
AI sits alongside developers, helping them generate code, suggest improvements, or speed up repetitive tasks. Itâs useful, but it doesnât fundamentally change how work is structured, though that could change soon, Iain believes.
What weâll see over time is a move from a copilot model to an orchestration model.
In that world, developers donât just use AI, they coordinate it. Instead of writing everything themselves, they manage multiple AI agents, assign tasks, validate outputs, and connect everything into a working system. The role shifts from execution to direction.
As tools become more powerful, thereâs a growing temptation to push more responsibility onto them. Iain sees that as a dangerous path:
If AI is just like a co-worker, it isnât truly autonomous and we remain accountable no matter how powerful the tools are.
The risk isnât that AI will take control. Itâs that teams will give it up too easily:
If we allow AI tools to operate completely autonomously, we lose that accountability. And thatâs the wrong approach.
This means developers arenât becoming less responsible, theyâre becoming more. Theyâre accountable not just for what they write, but for what they orchestrate.
AIâs first big impact wonât be mass layoffs, it will be role compression. “In the coming years, teams will shrink, and people will need to wear multiple hats,” Iain says.
The lines between traditional roles are starting to blur: youâll see more product engineers build AI-driven solutions. At the same time, deep technical expertise wonât disappear; if anything, it becomes even more critical, Iain explains.
There will always be a need for systems engineers who understand what good code looks like.
As AI generates more code, someone still needs to ensure the architecture makes sense.
Iain sees two clear paths:
“The risk is for engineers who stay in the middle,” he says. “With AI handling more execution, being just kind of technical and kind of product-aware may no longer be enough.”
Most companies arenât struggling with what AI can do, theyâre struggling with how to manage it, Iain says: “Thereâs a rapid pace of change, and companies need to get control of whatâs happening.”
The instinct is to lock things down (limit tools, restrict access, add heavy governance) but engineers will find ways around it.
A more sustainable path is to structure how AI is used. Iain points to orchestration platforms, where standards, design systems, and governance are built into AI workflows. This lets teams move fast without losing control, and ensures organisations donât have to choose between speed and consistency. Control comes not just from systems, but from people understanding the tools theyâre using.
With all the focus on automation, one skill is quietly becoming critical: communication.
Iain says that for teams new to AI, itâs about more than prompts – itâs understanding models, structuring context, and guiding outputs into something usable.
Prompt engineering is really about creating the right context to get the best response.
This changes how developers work. Instead of writing everything, they guide systems, shape inputs, and validate outputs. Models will keep improving, thatâs inevitable, but knowing how to use them well wonât be automatic.
The post Some Engineering Teams Won’t Be Ready for AI Orchestration – and It Will Cost Them appeared first on ShiftMag.
Welcome back to The Download! This week, we cover the serious supply chain attack on the LiteLLM Python package and OpenAI's intent to acquire Astral. We also look at Pretext, a new layout engine designed to help your browser handle complex tasks with ease. Plus, learn how to turn your GitHub contributions into a 3D pixel art city. Drop a comment and let us know which update is your favorite!
#DevNews #OpenAI #GitHub
â CHAPTERS â
00:00 Welcome to the Download
00:30 Pretext high performance layout engine
01:00 LiteLLM Python package supply chain attack
02:09 OpenAI to acquire Astral
02:49 GitHub Actions native timezone support
03:18 Agentevals for AI system reliability
04:05 Turn your GitHub profile into Git City
04:53 Outro
â RESOURCES â
Pretext
https://chenglou.me/pretext/
https://x.com/_chenglou/status/2037713766205608234
LiteLLM
https://futuresearch.ai/blog/no-prompt-injection-required/
https://snyk.io/articles/poisoned-security-scanner-backdooring-litellm/
Astral Acquisition
https://openai.com/index/openai-to-acquire-astral/
GitHub Actions Crons support
https://github.blog/changelog/2026-03-19-github-actions-late-march-2026-updates/#github-actions-timezone-support-for-scheduled-workflows
https://www.linkedin.com/posts/bengotch_you-know-what-feels-good-on-a-friday-morning-activity-7440808005568258048-KXSL?utm_source=share&utm_medium=member_desktop&rcm=ACoAABuOjfwBvMcYGBdcy1lJ550ifkI_DwoPEYc
Agent Evals:
https://www.solo.io/press-releases/introducing-new-agentic-open-source-project-agentevals
Open Source Project:
https://github.com/srizzon/git-city
Stay up-to-date on all things GitHub by connecting with us:
YouTube: https://gh.io/subgithub
Blog: https://github.blog
X: https://twitter.com/github
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TikTok: https://www.tiktok.com/@github
About GitHub
Itâs where over 180 million developers create, share, and ship the best code possible. Itâs a place for anyone, from anywhere, to build anythingâitâs where the world builds software. https://github.com
I hope to finish the majority of the work I've been doing to customize equality operations on a C# record in this stream.
https://github.com/JasonBock/Transpire/issues/44
#dotnet #csharp
This week, we discuss the Claude Code leak, locking down coding agents, and the Axios supply chain attack. Plus, Coté considers breaking up with his Gmail address of 20+ years.
Watch the YouTube Live Recording of Episode 566