Nash R.

Engineering managers: budget constraints, economic and political uncertainty, and the persistent burden of tech debt are all impacting how you lead your teams - not to mention the perception and usage of AI coding tools. The 2025 State of Engineering Management report uncovers research into all these areas. Tricia Gregg summarizes 3 takeaways from the SEMR: 🧭 Navigating Engineering Well-being and Productivity 🌊 Adapting to Evolving Workforce Dynamics 🤖 Embracing the Transformative Power of AI And she has also included considerations for each to tackle each head on here: https://lnkd.in/gS-QMYRF

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💡 AI doesn’t just change how code is written – it changes expectations and outcomes. In the final section of Jellyfish’s AI Adoption Guide, we explore how expectations for engineering leaders are evolving as AI becomes embedded across the SDLC. Because the organizations pulling ahead are treating AI as a transformation, not a tooling upgrade. Inside, you’ll explore: - Why AI adoption is quickly becoming a leadership mandate, not an option - How to balance ambitious goals with realistic expectations - What cultural investments are required to sustain long-term gains - How data can be used to align executives and engineering teams The teams that win in the AI era won’t just have better tools – they’ll have leaders who know how to guide change. Download today: https://lnkd.in/dut_6WpQ

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Learn what Playwright is, why teams use it, how it compares with other E2E tools, and how to scale tests with parallel execution.

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Goodbye test debt. Hello self-healing tests. QA teams waste hours fixing fragile scripts that break with every app change. With Appvance IQ, AI-driven self-healing keeps tests running automatically — no rework, no wasted time. That means more coverage, faster releases, and fewer bugs. Learn how AIQ eliminates test debt: https://hubs.ly/Q03K-NHW0

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Engineering success can hide business failure Teams can be doing everything right: Clean architecture Great DX Strong community High adoption And still walk into layoffs. That’s the hardest lesson for senior engineers: technical excellence doesn’t protect you from a broken business model. #EngineeringLeadership #TechCareers

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What should your priorities be for 2026? The organizations pulling ahead aren't removing engineers from the loop, they're making engineer expertise count where it matters most The sources suggest that organizations must 1. Master multi-agent coordination, 2. Scale oversight through AI-automated reviews 3. Embed security architecture from the very beginning of the development process. Those who treat agentic coding as a strategic priority will be the ones to define the next era of what is possible in software. The landscape of software development is undergoing its most significant transformation in decades . According to the sources, by 2026, the industry will be defined by agentic coding, where AI agents shift from being simple tools to active collaborators in the development lifecycle. Here are the key takeaways for engineering leaders: 1. From Coder to Coordinator: Engineers are moving away from manual coding toward building and coordinating agents, This shift allows human experts to focus their efforts where they matter most Architecture, System design, and Strategic decision-making 2. The Collaboration Nuance: While developers use AI in roughly 60% of their work, they only fully delegate about 0–20% of tasks , This highlights that effective AI integration still requires significant human oversight, validation, and judgment . 3. Proven Impact at Scale: Organizations are already seeing massive efficiency gains #SoftwareEngineering #AI #AgenticCoding #TechTrends2026 #EngineeringLeadership

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Every team hits a point where effort isn’t enough, the workflow needs an upgrade. This method helps product teams: ✔ reduce confusion ✔ move faster ✔ align expectations ✔ deliver more consistently Try it in your next sprint and watch how your entire pace changes. Comment “WORKFLOW” to get the free downloadable workflow PDF. . . . . #projectmanagement #workflow

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In the architectural landscape of 2026, the "one-size-fits-all" API is a relic of the past. As enterprises scale across web, mobile, and even IoT devices, the diverse data requirements of these platforms have made a single, monolithic backend a...

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