Tal Levi Joseph, a VP of Product & Engineering, Application Development & Maintenance (ADM) at OpenText has shared a number of predictions for 2026.
For context: There’s little doubt that AI has completely transformed the developer experience in the last few years. According to OpenText research, 89% of organizations are piloting or deploying GenAI–augmented workflows, but half (50%) report a lack AI/ML expertise (unchanged from 2024). Looking ahead to 2026, Tal predicts that the developer experience will become more complicated as they adapt to increasingly AI-driven workflows.
Engineers Become Architects of Agentic AI Teams: Engineers will act as orchestrators of virtual AI agent teams, defining each agent’s role, rules, tools, and collaboration patterns next year. Their job will shift from direct execution to designing systems of intelligence that align with business outcomes. Success will depend on setting checkpoints and KPIs that guide autonomous workflows and adjusting them when they drift. They will also design new testing methods to validate non-deterministic, agentic systems.
The Developer Experience Will Get Messier Before It Gets Smarter: AI will co-write more code, shape architecture, and make development messier before quality and efficiency balance out. Early adopters will pay a temporary quality cost as they adapt to AI-driven workflows. Smart organizations will connect AI copilots to broader context and institutional knowledge, linking requirements, tests, and historical defects, so productivity gains translate into better delivery. Over time, self-improving and self-healing pipelines will turn productivity into lasting quality.
DevSecOps Shifts from Scanning to Prediction: DevSecOps will embed threat modeling and prediction across the entire lifecycle. Instead of reacting to vulnerabilities, teams will anticipate risks based on code changes, dependencies, and historical data. Compliance, security, and dependency intelligence will converge to give end-to-end visibility into relationships and potential exposures. This predictive approach will sustain development speed while strengthening trust and governance in an AI-driven SDLC.
This entry was posted on December 4, 2025 at 8:44 am and is filed under Commentary with tags OpenText. You can follow any responses to this entry through the RSS 2.0 feed.
You can leave a response, or trackback from your own site.
2026 DevOps predictions from OpenText
Tal Levi Joseph, a VP of Product & Engineering, Application Development & Maintenance (ADM) at OpenText has shared a number of predictions for 2026.
For context: There’s little doubt that AI has completely transformed the developer experience in the last few years. According to OpenText research, 89% of organizations are piloting or deploying GenAI–augmented workflows, but half (50%) report a lack AI/ML expertise (unchanged from 2024). Looking ahead to 2026, Tal predicts that the developer experience will become more complicated as they adapt to increasingly AI-driven workflows.
—
Senior Account Manager
+1587 577 1337
Share this:
Like this:
Related
This entry was posted on December 4, 2025 at 8:44 am and is filed under Commentary with tags OpenText. You can follow any responses to this entry through the RSS 2.0 feed. You can leave a response, or trackback from your own site.