Did you know that SOTA LLMs are experimentally proven to be more efficient than majority of copywriting use cases on all major social media platforms?
This was a research outcome from an agentic AI project we recently developed for our client writeomatic.app – an AI startup applying cutting edge AI agents to copywriting use cases. They approached us to do develop a multi-agent AI systems in a web app from the ground up according to their product concepts.
Our AI-powered tool exhibited several experimentally proven improvements, including ranking webpages across platforms as well as pioneering content for AI SEO—ensuring that every word of yours is published to attract results and ROI with traffic and numbers!
Creativity & AI come together to create a revolution
Did you know that modern deep learning algorithms can achieve up to 92% accuracy in detecting key moments within videos?
This was a research outcome from an agentic AI project we recently developed for our client onestream.live – a multiplatform recorded streaming web app with millions of monthly active users. They approached us to do develop a multi-agent AI system for detecting and creating viral reel generations from several hours of streamed videos per user.
Our AI-powered tool harnesses this scientific breakthrough, reducing processing times by over 40%—ensuring that every second of your live-stream content is turned into a captivating, shareable highlight.
In today’s fast-paced digital ecosystem, content is king—and speed is crucial. Live-streaming platforms produce hours of raw content daily, yet converting these long recordings into engaging, easily consumable highlights remains a significant challenge. Our solution leverages advanced artificial intelligence to automatically create short, viral reels from long-form live-stream recordings. This dual-purpose innovation was designed for onestream.live’s platform and also launched as a standalone SAAS product.
Jeff Bezos once remarked that during early electrification, firms hired a Chief Electricity Officer, a role that vanished once electricity became ubiquitous. Today, software is experiencing its own electrification moment, with AI becoming the underlying utility powering development. Just as electrical engineers shifted focus from generators to grid-scale optimization, software engineers must evolve beyond manual coding to orchestrating AI-driven workflows.
Key Factors Changing the Software Developer’s Role
1. LLMs Automating Routine Coding Tasks
Large language models (LLMs) like OpenAI’s GPT and GitHub Copilot are now embedded in development toolchains, generating boilerplate code, creating tests, refactoring, and even conducting initial reviews. Microsoft reports that depending on language and project type, AI now produces between 20 % and 30 % of new code, while Google indicates over 30 % of its newly written code is AI-generated. In enterprise studies, developers accept roughly 30% of Copilot’s suggestions, with 90% acknowledging increased productivity. These tools free human engineers to focus on complex, high-impact problems, but they also diminish the demand for developers whose primary value lies in basic syntax and repetitive tasks.
2. Remote Work and Offshoring
The pandemic’s normalization of remote work erased many geographic barriers, enabling companies to tap global talent pools more easily. AI further amplifies this trend: business insider reports that AI tools can “supercharge offshoring” by upskilling lower-cost workers and enhancing their productivity in complex roles like software development. As a result, commodity-level development work is increasingly outsourced or automated, intensifying competition for traditional coding positions.
3. Industry-Specific Expertise
As AI handles foundational coding, the premium shifts to engineers who understand domain nuances, healthcare regulations, financial compliance, or energy-grid constraints. Industry-savvy developers can contextualize technical choices within business realities, translating stakeholder needs into strategic priorities. In sectors with stringent standards, human oversight and deep vertical knowledge remain indispensable.
4. The Rise of Prompt Engineering
Prompt engineering is the art and science of designing inputs for large language models (LLMs) to yield optimal outputs, treating prompts as a domain-specific language within host applications.
The Business Insider reported skyrocketing demand for prompt engineers, hailing them as the “hottest AI job of 2023,” Some argue prompt engineering is essentially macro-writing and will be subsumed by evolving AI that auto-refines prompts, doomed to disappear once LLMs self-optimize. Others counter that deep system knowledge and ethical “red-teaming” to prevent adversarial exploits will keep prompt engineers indispensable for the foreseeable future.
Table 1: Traditional vs. Future Developer Roles
New Skill Requirements for Software Engineers
1. Business Acumen and Product Thinking
Coding alone no longer suffices; developers must grasp market trends, ROI calculations, and strategic objectives. Engineers who speak the language of C-suite executives and translate technical trade-offs into business outcomes will command leadership roles.
2. Emotional Intelligence and Communication
AI can’t negotiate stakeholder expectations, mediate team conflicts, or elicit nuanced requirements, human soft skills remain critical. High-EQ engineers who foster collaboration, mentor juniors, and build consensus will be essential in hybrid AI-human teams.
3. Continuous, Multi-disciplinary Learning
The half-life of programming languages and frameworks is shrinking. Engineers must adopt a mindset of perpetual learning, mastering new AI tools, understanding adjacent fields like data ethics or DevOps, and staying current on industry regulations.
Career Strategies for Developers
1. Upskilling and Reskilling
Invest in AI literacy, learn prompt engineering frameworks, experiment with open-source LLMs, and study AI ethics. Acquire business skills through courses or mentorships.
2. Focus on High-Value Tasks
Shift from boilerplate coding to system architecture, API design, and strategic planning. Become the bridge between AI capabilities and business objectives.
3. Niche Expertise and Leadership Roles
Cultivate domain specialization (e.g., fintech compliance, medical device software) where deep knowledge underpins critical decisions. Focus on leadership, stakeholder management, and clear communication to complement technical capabilities.
Figure 1: Career Strategies for Developers
AI- Augmented Development Workflow
Figure 2: AI-Augmented Development Workflow
This cycle illustrates how prompt engineers interface between product needs and AI models, orchestrating a loop of generation, validation, and deployment.
Table 2: AI-Augment Development Workflow — How prompt engineers interface between product needs and AI models
The Automation Dilemma
While AI makes automating individual tasks easier than ever, it seldom replaces entire roles outright. Instead, it transforms job scopes by offloading routine, repeatable work such as generating boilerplate code, formatting, and standard test case creation to intelligent systems. However, human developers remain essential for oversight, ethical governance, and handling ambiguous or novel challenges that AI cannot yet address. This tension between the efficiency gains of automation and the enduring need for human judgment constitutes the automation dilemma: organizations must balance investing in AI-driven productivity with upskilling their workforce to tackle the complex, creative, and collaborative aspects of software development that machines cannot fully replicate.
Figure 3: The Automation Dilemma
Conclusion
The software developer’s role is at an inflection point. As AI becomes the new “electricity” powering software development, traditional coding tasks are automated, and value shifts toward strategic orchestration, business impact, and domain expertise. Developers who embrace prompt engineering, deepen their business insight, and strengthen soft skills will not only remain relevant, they will lead the next wave of innovation. The question isn’t whether to adapt. It’s how fast and how far you evolve with AI.
In today’s digital transformation era, AI agents and APIs are reshaping how businesses automate workflows. By combining the autonomous decision-making of AI agents with the connective power of APIs, organizations can streamline processes, reduce manual work, and enable intelligent, adaptive operations.
In this article we will present and explain the implementation steps of how we at Ähdus Technology are integrating agenting AI solutions within API workflows for some of our AI based projects. In today’s time, every scaled product must be dealing with API driven product development and this might be helpful for your software and AI teams to combine best strategies together based on our experiences.
What are AI Agents? Before we explore API workflows, let us first look into AI agents. AI agents are autonomous software systems capable of perceiving their environment, reasoning, and taking actions without continuous human input. They use techniques such as machine learning and natural language processing (NLP) to interpret data, execute multi-step tasks, and learn from feedback. The future belongs to AI Agents, every product will be having AI Agents, sooner or later.
Key Characteristics of AI Agents
Table 1: Key Characteristics of AI Agents
Types of AI Agents AI agents vary in complexity and functionality. Here’s a simplified classification:
Table 2: Types of AI Agents
Role of APIs in Automation APIs (Application Programming Interfaces) are the backbone of digital connectivity. They allow different software systems to communicate, enabling automation across multiple platforms. In the context of AI agents, APIs serve two critical functions:
Data Ingestion: AI agents rely on real-time data from various systems; databases, CRMs, social media, IoT devices; which is provided via APIs.
Action Execution: Once an AI agent decides on an action, APIs allow it to interact with external systems (e.g., updating records, triggering workflows, or processing transactions).
Benefits of API-Driven Automation
Table 3: Benefits of API-Driven Automation
Common Use Cases AI agents integrated with APIs have wide-ranging applications. Here are some prominent use cases:
Table 4: Common Use Cases
Architecture Breakdown Integrating AI agents with API workflows involves several layers; from data ingestion to decision making and action execution. Below is a conceptual breakdown of the architecture.
Core Components
Table 5: Core Components
Figure 01: This diagram shows how external data flows through APIs into an integration layer, is processed by the perception module and reasoning engine, then executed via API calls by the action executor. Feedback loops help refine agent decisions.
Figure 02: This sequence diagram outlines how an AI agent processes a user request, retrieves data via APIs, makes decisions, and executes an action through external systems.
Conclusion Integrating AI agents with API workflows creates a powerful synergy that automates complex tasks by combining intelligent decision-making with robust data connectivity. The layered architecture; from perception to execution, ensures that AI agents can dynamically interact with their environment, process data, and execute actions autonomously. As businesses continue to adopt these technologies, the role of APIs in bridging systems and enabling scalable automation will become even more critical. This fusion of AI and API-driven automation not only drives efficiency and innovation but also opens up new possibilities for transforming business processes across various industries.
Islamabad-München, Ähdus Technology, ein führender Anbieter von Technologielösungen, hat eine strategische Partnerschaft mit Gastimate Technologies GmbH, die Zukunft des Gasmanagements. Diese Allianz markiert einen bedeutenden Meilenstein für Ähdus Technology und positioniert sie als strategischen Partner der Gruppe, nicht nicht nur mit Gastimate Technologies GmbH, sondern auch mit deren Muttergesellschaft Camsol.io. Ähdus Technology wird mit exzellenten, professionellen und erfahrenen Softwareentwicklern eng zusammenarbeiten mit Gastimate Technologies GmbH als ihr Software-Entwicklungspartner werden wir dazu beitragen, ihre Innovationsprojekte in den Bereichen Embedded und Mobile Applications.
Über das Projekt:
Implementierung der Embedded Software-Entwicklung für eine verwendete Core-Firmware-Software im GasVisor Smart Cylinder Produkt, um alle erforderlichen Dateneingabeparameter zu kalibrieren, die verwendet werden, um Um CO₂ in Gasflaschen zu berechnen, müssen wir eine Firmware-Software implementieren, die in der Lage sein könnte zum Messen, Berechnen und Verfolgen aller Echtzeitwerte in mehr als 25.000 Gasflaschen Geräte.
GasVisor App-Entwicklung mit Flutter Technologies, wir entwerfen und entwickeln die App zusammen mit anderen Teammitgliedern von GasVisor, das die zentrale Informationsstelle sein wird für alle Beteiligten und Endverbraucher, um die CO₂-Informationen direkt von intelligenter Zylinder.
Über Gastimate Technologies GmbH: Gastimate Technologies GmbH bietet GasVisor an, die Zukunft des Gasmanagements. Ihr patentiertes IoT-fähige Lösung digitalisiert und automatisiert das CO₂-Gasflaschenmanagement und liefert außergewöhnliche Effizienz, Wirtschaftlichkeit und Sicherheit für Büros, Systemgastronomie, Hotels und Gasversorger. Durch Vereinfachung der Nachbestellung, Verbesserung des Kundenservice, Ermöglichung eines effektiven Asset-Managements und Förderung Nachhaltigkeit verändern sie den Gasmarkt Flasche für Flasche. Mit GasVisor, der Zukunft von Das Gasmanagement ist hier. Ähdus Technology ist stolz auf die Zusammenarbeit mit ihnen als professioneller IT-Dienstleister von Pakistan.
Über Ähdus Technology: Ähdus Technology ist ein deutsch-pakistanisches Deep-Tech-Startup, das sich ausschließlich auf Industrial IoT, Full Stack Web & Mobile Application und Cloud Engineering. Seit der Gründung von Ähdus Technology von September 2021 bis jetzt haben wir etwa 35 Software-Entwicklungsprojekte abgeschlossen und jetzt sind wir Partnerschaften mit einigen deutschen Großunternehmen und vielen innovativen Startups aus der deutschen Region. Zusammenfassend lässt sich sagen, dass die strategische Partnerschaft zwischen Ähdus Technology und Gastimate Technologies GmbH markiert einen entscheidenden Moment für beide Unternehmen. Mit der umfassenden technischen Expertise von Ähdus Technology und Mit der innovativen GasVisor-Lösung von Gastimate verspricht die Zusammenarbeit eine Revolution im Gasmanagement in verschiedenen Branchen. Da Ähdus Technology seine globale Präsenz weiter ausbaut, ist diese Partnerschaft bekräftigt sein Engagement für die Bereitstellung hochmoderner Technologielösungen und die Weiterentwicklung der Landschaft der digitalen Transformation.
Ahdus Technology, ein führender Anbieter von Technologielösungen, hat eine strategische Partnerschaft mit Pro-Drei bekannt gegeben, einem renommierten globalen Unternehmen mit Fokus auf Innovation und digitale Transformation. Diese Allianz markiert einen wichtigen Meilenstein für Ahdus Technology und positioniert das Unternehmen als Technologie- und Startup-Beratungspartner von Pro-Drei. Dank umfassender Expertise und modernster Technologien wird Ahdus Technology eng mit Pro-Drei zusammenarbeiten, um innovative Lösungen für Kunden zu entwickeln, die sich auf dem Weg zur digitalen Transformation befinden.
The IT industry in Pakistan has experienced rapid growth in recent years. According to the Pakistan Software Export Board (PSEB), the industry has been expanding at a rate of 18% per year and is projected to reach $7 billion by 2023. The primary hubs for the IT industry in Pakistan are Karachi, Lahore, and Islamabad, collectively employing over 300,000 professionals.
Pakistani IT experts are making their mark globally, with a significant presence in Silicon Valley. It is estimated that 12,000 to 15,000 Pakistani Americans are based in Silicon Valley, working for renowned companies such as Apple, Cisco, Google, Intel, Oracle, and many others. These professionals contribute to a wide range of organizations, from small startups to large Fortune 500 corporations.
Pakistan’s potential in the field of AI is significant. The scope of AI in the country extends from solving local challenges in agriculture, governance, climate change, and manufacturing to nurturing tech unicorns and specialized AI software export service companies. The partnership between Ahdus Technology and Pro-Drei aligns with this potential, as they aim to accelerate digital innovation, drive business growth, and make a lasting impact in the global market. This partnership with Pro-Drei represents an exciting milestone for Ahdus Technology,” said Ammar Asjad, Founder of Ahdus Technology. “We are honored to be chosen as their technology partner and look forward to empowering startups and enterprises alike with our transformative solutions. Together with Pro-Drei, we will accelerate digital innovation, drive business growth, and make a lasting impact in the global market. Pro-Drei is recognized for its commitment to delivering excellence and driving change across diverse industries. By joining forces with Ahdus Technology, they gain access to an extended network of talented professionals and a broad spectrum of technological capabilities.
