[2/2] 2026 Agentic Coding Trends Report - How coding agents are reshaping software development (AI column)
In this post, we'll finish. Download the short trend-report AnthropicIt gives you the focus of what to do in 2026 As engineers and executives, we need to keep up with the rapidly changing software industry.
**3️⃣ Impact trends: What agents may change in 2026
Trend 6: Productivity gains reshape software development economics** The effect is not only "faster", but "more": the volume of the shipped-result increases, there is work that would not have been done before. (in the report ~27Percentage of AI Tasks: “Wouldn’t do otherwise”). TELUS, for example, made 13k internal AI-solutions and accelerated the shipping of code to 30%, saving 500k+ hours. Engineers need to re-prioritize - to close the technical debt and "papercuts" becomes profitable. CTO should expect an “output explosion” and set quality limits in advance, otherwise speed will eat up support.
Trend 7: Non-technical use cases expand across organizations Non-engineering teams are beginning to automate processes themselves: fewer tickets for development, more local “mini-products.” Zapier in the report - 89% of adoption and 800+ internal agents; Anthropic lawyers have reduced the marketing review to 24 Self-service tools were collected by a lawyer without coding experience. Engineers should be assisted through internal libraries/connectors/examples rather than doing for everyone. It's time to build governance citizen devevelopers (What can be automated, where secrets are stored, who is responsible for support).
Trend 8: Dual-use risk requires security-first architecture Agent coding enhances both defense and attack. Any engineer can do a security review with an agent, and any attacker can scale their efforts. Engineers need to move safety practices: “least privilege” for agent tools, isolation, journaling, injection protection/context substitution.
- CTO needs to go to security by design agent-system (rights, contours, audit, red teaming) before agents have access to sales data/deployment.
If you reduce the report to one thesis: the teams that learn will win.
- Manage multiple agents
- Scaling up quality control Securely expand agent tools beyond engineering
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