What happened: Gartner puts agentic software development front and centre
Agentic AI is no longer a future promise. In May 2026, Gartner announced that the market for enterprise AI coding agents is entering a new phase of expansion and competitive realignment, with industry analysts now tracking it as a roughly $10 billion market. Agentic AI coding tools go beyond autocomplete: they are autonomous software development agents that plan, write, test and ship code with minimal human prompting.
Gartner has also predicted that 40% of enterprise applications will feature task-specific AI agents by 2026, up from less than 5% in 2025. Analysts expect agentic AI to become mainstream in enterprise software development this year, with CIOs moving pilots into production, provided they get governance, quality control and security right.
How agentic development actually works
Instead of suggesting the next line of code, an agentic AI tool breaks a task into steps: it explores the codebase, plans the change, writes the code, runs tests, fixes failures and opens a pull request. In larger setups, multiple agents specialise, with one planning architecture, another writing code, another reviewing and another running security scans.
What has changed in 2026
- Agents now work across the full software lifecycle, including issue trackers, CI/CD pipelines and cloud deployment.
- Enterprises are shifting from individual copilots to platform-level agent teams.
- Vendors now compete on autonomy, observability and governance features rather than raw code generation.
Why it matters for businesses buying software in Uganda and East Africa
For a business in Kampala or Nairobi, the practical effect is speed. Agentic tooling lets a small team ship features in days that once took weeks, which matters where senior engineering talent is scarce and expensive. For companies that have struggled to hire developers, this can shorten delivery timelines without inflating headcount. But it also changes what you should expect from your software vendor.
Ask your development partner how they use agentic AI, how they guarantee code quality and security when agents generate code, and what human review still sits in the loop. Vendors that treat agent output as done without testing and review are cutting corners your business will pay for later.
The practical takeaway
Agentic AI is real, and it is reshaping how custom software is built in 2026. Start with a single well-scoped project, keep a senior engineer reviewing every agent-produced change, and measure cycle time and defect rates before scaling. Used well, autonomous software development means faster delivery at a realistic cost, not a magic button that removes the need for experienced engineers.
At Jasphine Digital Technologies, we help businesses turn these trends into working software.