Senior software program builders are making ready for a significant shift in how they work as synthetic intelligence turns into central to their workflows, based on BairesDev’s newest Dev Barometer report publishing tomorrow. VentureBeat was given an unique early look and the findings beneath come immediately from that report.
The quarterly world survey, which polled 501 builders and 19 mission managers throughout 92 software program initiatives, finds that almost two-thirds (65%) of senior builders count on their roles to be redefined by AI in 2026.
The info highlights a change underway in software program improvement: fewer routine coding duties, extra emphasis on design and technique, and a rising want for AI fluency.
From Coders to Strategists
Amongst these anticipating change, 74% say they count on to shift from hands-on coding to designing options.
One other 61% plan to combine AI-generated code into their workflows, and half foresee spending extra time on system technique and structure.
“It’s not about traces of code anymore,” stated Justice Erolin, Chief Know-how Officer at BairesDev, in a current interview with VentureBeat performed over video name. “It’s concerning the high quality and kind of code, and the form of work builders are doing.”
Erolin stated the corporate is watching builders evolve from particular person contributors into system thinkers.
“AI is nice at code scaffolding and producing unit assessments, saving builders round eight hours every week,” he defined. “That point can now be used for resolution structure and technique work—areas the place AI nonetheless falls brief.”
The survey’s information displays this shift. Builders are shifting towards higher-value duties whereas automation takes over a lot of the repetitive coding that after occupied junior engineers.
Erolin famous that BairesDev’s inside information mirrors these findings. “We’re seeing a shift the place senior engineers with AI instruments are outperforming, and even changing, the normal senior-plus-junior workforce setup,” he stated.
Realism About AI’s Limits
Regardless of widespread enthusiasm, builders stay cautious about AI’s reliability.
Over half (56%) describe AI-generated code as “considerably dependable,” saying it nonetheless requires validation for accuracy and safety. Solely 9% belief it sufficient to make use of with out human oversight.
Erolin agreed with that sentiment. “AI doesn’t change human oversight,” he stated. “At the same time as instruments enhance, builders nonetheless want to know how particular person elements match into the larger system.”
He added that the most important constraint in giant language fashions immediately is “their context window”—the restricted means to retain and motive throughout complete methods. “Engineers must assume holistically about structure, not simply particular person traces of code,” he stated.
The CTO described 2025 as a turning level for a way engineers use AI instruments like GitHub Copilot, Cursor, Claude, and OpenAI’s fashions. “We’re monitoring what instruments and fashions our engineers use,” he stated. “However the greater story is how these instruments impression studying, productiveness, and oversight.”
That tempered optimism aligns with BairesDev’s earlier Dev Barometer findings, which reported that 92% of builders had been already utilizing AI-assisted coding by Q3 2025, saving a median of seven.3 hours per week.
A 12 months of Upskilling
In 2025, AI integration already introduced tangible skilled advantages. 74% of builders stated the expertise strengthened their technical abilities, 50% reported higher work-life steadiness, and 37% stated AI instruments expanded their profession alternatives.
Erolin stated the corporate is seeing AI emerge as “a high use case for upskilling.” Builders use it to “study new applied sciences quicker and fill data gaps,” he famous. “When builders perceive how AI works and its limitations, they’ll use it to boost—not change—their important considering. They immediate higher and study extra effectively.”
Nonetheless, he warned of a possible long-term danger within the trade’s present trajectory. “If junior engineers are being changed or not employed, we’ll face a scarcity of certified senior engineers in ten years as present ones retire,” Erolin stated.
The Dev Barometer findings echo that concern. Builders count on leaner groups, however many additionally fear that fewer entry-level alternatives might result in long-term expertise pipeline points.
Leaner Groups, New Priorities
Builders count on 2026 to convey smaller, extra specialised groups. 58% say automation will cut back entry-level duties, whereas 63% count on new profession paths to emerge as AI redefines workforce constructions. 59% anticipate that AI will create solely new specialised roles.
Based on BairesDev’s information, builders at the moment divide their time between writing code (48%), debugging (42%), and documentation (35%). Solely 19% report focusing totally on artistic problem-solving and innovation—a share that’s anticipated to develop as AI removes lower-level coding duties.
The report additionally highlights the place builders see the fastest-growing areas for 2026: AI/ML (67%), information analytics (46%), and cybersecurity (45%). In parallel, 63% of mission managers stated builders will want extra coaching in AI, cloud, and safety.
Erolin described the following era of builders as “T-shaped engineers”—individuals with broad system data and deep experience in a number of areas. “Crucial developer shifting ahead would be the T-shaped engineer,” he stated. “Broad in understanding, deep in ability.”
AI as an Trade Customary
The This autumn Dev Barometer frames AI not as an experiment however as a basis for a way groups will function in 2026. Builders are shifting past utilizing AI as a coding shortcut and as a substitute incorporating it into structure, validation, and design choices.
Erolin emphasised that BairesDev is already adapting its inside groups to this new actuality. “Our engineers are full-time with us, and we employees them out the place they’re wanted,” he stated. “Some purchasers need assistance for six months to a yr; others outsource their complete dev workforce to us.”
He stated BairesDev supplies “about 5,000 software program engineers from Latin America, providing purchasers timezone-aligned, culturally aligned, and extremely fluent English-speaking expertise.”
As builders combine AI deeper into their every day work, Erolin believes the aggressive benefit will belong to those that perceive each the expertise’s capabilities and its constraints. “When builders study to collaborate with AI as a substitute of compete in opposition to it, that’s when the true productiveness and creativity beneficial properties occur,” he stated.
Background: Who BairesDev Is
Based in Buenos Aires in 2009 by Nacho De Marco and Paul Azorin, BairesDev started with a mission to attach what it describes because the “high 1%” of Latin American builders with world corporations in search of high-quality software program options. The corporate grew from these early roots into a significant nearshore software program improvement and staffing supplier, providing the whole lot from particular person developer placements to full end-to-end mission outsourcing.
At present, BairesDev claims to have delivered greater than 1,200 tasks throughout 130+ industries, serving a whole lot of purchasers starting from startups to Fortune 500 companies equivalent to Google, Adobe, and Rolls-Royce. It operates with a remote-first mannequin and a workforce of over 4,000 professionals throughout greater than 40 nations, aligning its groups to North American time zones.
The corporate emphasizes three core benefits: entry to elite technical expertise throughout 100+ applied sciences, speedy scalability for mission wants, and nearshore proximity for real-time collaboration. It stories consumer relationships averaging over three years and a satisfaction fee round 91%.
BairesDev’s distinctive place—bridging Latin American expertise with world enterprise purchasers—provides it an unusually data-rich perspective on how AI is remodeling software program improvement at scale.
The Takeaway
The Dev Barometer’s This autumn 2025 outcomes recommend 2026 will mark a turning level for software program engineering. Builders have gotten system architects somewhat than pure coders, AI literacy is turning into a baseline requirement, and conventional entry-level roles might give approach to new, specialised positions.
As AI turns into embedded in each stage of improvement—from design to testing—builders who can mix technical fluency with strategic considering are set to guide the following period of software program creation.
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