Forrester’s clients continue to inquire about trends in software development. So in Forrester’s Developer Survey, 2025, we asked software developers from around the world about their technology adoption, drivers of adoption, and use of development technologies. In this data-driven report, we highlight some critical insights from this survey. Development leaders can use this report to understand the current state and trajectory of enterprise software development.

Agentic development platforms (ADPs) move AI-enhanced development from experimentation to enterprise decision-making. As AI coding assistants evolve into platforms that can coordinate agents, manage context, and automate work across the software development lifecycle (SDLC), technology leaders need a clearer view of which vendors matter, how they differ, and where the market is heading. ADPs are […]

You can use agentic development platforms to produce more output with the same or fewer resources, reduce manual effort and shorten delivery cycles, as well as have better orchestration, stronger context, and potential for more scale. But to realize these benefits, you’ll first have to select from a diverse set of vendors that vary by size, type of offering, geography, and use case differentiation. Software development and engineering leaders should use this report to understand the value they can expect from an agentic development platform vendor, learn how vendors differ, and investigate options by size and market focus.

Modern software development, leveraging AI, has accelerated beyond the capabilities of traditional software development lifecycle (SDLC) approaches. Today’s leading organizations operate through an agentic development cycle that integrates planning, design, build, test, and delivery — all accelerated by AI, cloud‑native engineering, and continuous testing. This report provides technology leaders with a deep dive into the key components of Forrester’s Agentic Software Development (ASD) Model.

Modern software delivery now relies on an agentic software development lifecycle (SDLC) that strengthens traditional development stages with AI-enhanced coding, autonomous testing, and optimized delivery. Integrating agentic capabilities helps development teams move faster, improve quality, and stay aligned to business value. Read this report to understand how an agentic SDLC elevates speed, reliability, and business impact.

Agentic AI is transforming how firms build new software, but its impact on legacy environments is far more constrained. Greenfield development benefits from speed and autonomy, while risk, technical debt, and high-gravity data that resists simple automation define brownfield modernization. This report explains why modernization is no longer a cleanup exercise but the architectural prerequisite for AI-first enterprises. It outlines how organizations must redesign their modernization strategies, establish a cognitive operating model, and adopt an inside-out data-first approach to unlock durable agentic value.

OpenAI’s IPO move, paired with its latest manifesto, highlights a race to win consumers, automate enterprises, and advance toward AGI. For business and technology leaders, the implication is clear: Accelerate AI adoption, avoid lock-in, and focus on capabilities, not vendors, as the competitive landscape shifts.

So far in 2026, software development has already crossed a clear threshold. GenAI is no longer just helping developers to write code faster; it is reshaping how software is planned, built, tested, and delivered. Forrester’s recent report on The State Of Agentic Software Development, 2026 shows that TuringBots are now becoming agentic, not just AI […]

Agentic AI is speeding the arrival of agentic software development (ASD), transforming development into a system of LLM-based agents with increasing autonomy, coordination, and orchestration. Tech execs at high-performing IT organizations can enable dev teams to use ASD to generate code at scale for product development, making software dev more productive, enjoyable, and creative. Productivity benefits are unprecedented and will become unimaginable in the next two to four years; efficiency benefits are already worth the risk of trial. This report describes what these benefits are; how to obtain them without security, risk, or compliance issues; and what the use cases are in six key industries.

Accelerate innovation with deeper insights about why agentic software development is important, when it will likely pay off, and how organizations are applying it today. Agentic software development uses AI agents to generate, refine, and orchestrate activities across the software development lifecycle, shifting teams from manual creation to agent orchestration. In this webinar, we share the latest expert insights, practical guidance, and key steps you and your team can take. Join us to learn how agent led software development lifecycles (SDLCs) will mature and how firms can prepare for scaled productivity gains.Key takeaways: Gain an understanding of how organizations use agentic tools across the SDLC.Identify development use cases where agent driven automation delivers value.Learn critical steps to implement agentic development responsibly and effectively.Target audience level: all levels