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Modelence Secures $3 Million Seed Round to Streamline AI‑Powered App Development

Modelence Secures $3 Million Seed Round to Streamline AI‑Powered App Development
Modelence, a California‑based startup that offers an all‑in‑one framework for building AI‑enhanced applications, announced a $3 million seed investment led by Y Combinator. The funding will support the company’s effort to simplify the complex web of services—authentication, databases, hosting, and LLM observability—that developers must stitch together when using generative AI tools. Modelence’s toolkit, built on TypeScript, aims to reduce friction by handling core infrastructure tasks and providing a low‑code app builder, positioning the firm to capture a growing market of developers seeking smoother, more reliable AI‑driven development pipelines. Read more →

Dynatrace Report Shows Half of Agentic AI Projects Stuck in Proof‑Concept Phase

Dynatrace Report Shows Half of Agentic AI Projects Stuck in Proof‑Concept Phase
A recent Dynatrace study reveals that roughly half of organizations' agentic AI initiatives remain in proof‑of‑concept or pilot stages. While companies plan to raise AI budgets, progress is hampered by security, privacy, compliance concerns, difficulty managing agents at scale, and a shortage of skilled staff. Deployment focus is strongest in IT operations, DevOps, software engineering, and customer support, yet the greatest expected returns are in IT operations monitoring, cybersecurity, and data processing. Leaders emphasize human‑machine collaboration and recommend redefining ROI, establishing clear guardrails, and scaling deliberately. Read more →

AI Drives Faster App Development While Amplifying Cyber Threats

AI Drives Faster App Development While Amplifying Cyber Threats
Artificial intelligence is reshaping how developers build applications, delivering speed and automation across the software lifecycle. At the same time, AI tools are empowering threat actors to reverse‑engineer code, generate sophisticated malware, and exploit mobile apps at unprecedented scale. The convergence of rapid app deployment and AI‑enabled attacks is expanding the attack surface, prompting security professionals to embed protections such as runtime application self‑protection (RASP) and continuous testing directly into development pipelines. Read more →

AI’s Role in Reviving Shift‑Left Testing: Trust, Transparency, and the Future of Quality Assurance

AI’s Role in Reviving Shift‑Left Testing: Trust, Transparency, and the Future of Quality Assurance
BlinqIO has built an autonomous AI Test Engineer platform that can understand applications, generate and maintain test suites, and recover from failures without human intervention. While the technology works, enterprises express concerns about trust and control when adopting AI tools. The original Shift‑Left approach, intended to embed testing earlier in development, often led to the marginalization of dedicated QA roles and inadequate test coverage. By addressing fear of AI (FOAI) through transparency and collaborative adoption, organizations can restore confidence in automated testing, improve software stability, and position AI as an enabler rather than a replacement for human insight. Read more →

AI Drives Faster App Development While Amplifying Cyber Threats

AI Drives Faster App Development While Amplifying Cyber Threats
Artificial intelligence is reshaping how developers build applications, delivering speed and automation across the software lifecycle. At the same time, AI tools are empowering threat actors to reverse‑engineer code, generate sophisticated malware, and exploit mobile apps at unprecedented scale. The convergence of rapid app deployment and AI‑enabled attacks is expanding the attack surface, prompting security professionals to embed protections such as runtime application self‑protection (RASP) and continuous testing directly into development pipelines. Read more →

AI Drives Faster App Development While Amplifying Cyber Threats

AI Drives Faster App Development While Amplifying Cyber Threats
Artificial intelligence is reshaping how developers build applications, delivering speed and automation across the software lifecycle. At the same time, AI tools are empowering threat actors to reverse‑engineer code, generate sophisticated malware, and exploit mobile apps at unprecedented scale. The convergence of rapid app deployment and AI‑enabled attacks is expanding the attack surface, prompting security professionals to embed protections such as runtime application self‑protection (RASP) and continuous testing directly into development pipelines. Read more →

AI’s Role in Reviving Shift‑Left Testing: Trust, Transparency, and the Future of Quality Assurance

AI’s Role in Reviving Shift‑Left Testing: Trust, Transparency, and the Future of Quality Assurance
BlinqIO has built an autonomous AI Test Engineer platform that can understand applications, generate and maintain test suites, and recover from failures without human intervention. While the technology works, enterprises express concerns about trust and control when adopting AI tools. The original Shift‑Left approach, intended to embed testing earlier in development, often led to the marginalization of dedicated QA roles and inadequate test coverage. By addressing fear of AI (FOAI) through transparency and collaborative adoption, organizations can restore confidence in automated testing, improve software stability, and position AI as an enabler rather than a replacement for human insight. Read more →

AI’s Role in Reviving Shift‑Left Testing: Trust, Transparency, and the Future of Quality Assurance

AI’s Role in Reviving Shift‑Left Testing: Trust, Transparency, and the Future of Quality Assurance
BlinqIO has built an autonomous AI Test Engineer platform that can understand applications, generate and maintain test suites, and recover from failures without human intervention. While the technology works, enterprises express concerns about trust and control when adopting AI tools. The original Shift‑Left approach, intended to embed testing earlier in development, often led to the marginalization of dedicated QA roles and inadequate test coverage. By addressing fear of AI (FOAI) through transparency and collaborative adoption, organizations can restore confidence in automated testing, improve software stability, and position AI as an enabler rather than a replacement for human insight. Read more →

AI Drives Faster App Development While Amplifying Cyber Threats

AI Drives Faster App Development While Amplifying Cyber Threats
Artificial intelligence is reshaping how developers build applications, delivering speed and automation across the software lifecycle. At the same time, AI tools are empowering threat actors to reverse‑engineer code, generate sophisticated malware, and exploit mobile apps at unprecedented scale. The convergence of rapid app deployment and AI‑enabled attacks is expanding the attack surface, prompting security professionals to embed protections such as runtime application self‑protection (RASP) and continuous testing directly into development pipelines. Read more →

AI’s Role in Reviving Shift‑Left Testing: Trust, Transparency, and the Future of Quality Assurance

AI’s Role in Reviving Shift‑Left Testing: Trust, Transparency, and the Future of Quality Assurance
BlinqIO has built an autonomous AI Test Engineer platform that can understand applications, generate and maintain test suites, and recover from failures without human intervention. While the technology works, enterprises express concerns about trust and control when adopting AI tools. The original Shift‑Left approach, intended to embed testing earlier in development, often led to the marginalization of dedicated QA roles and inadequate test coverage. By addressing fear of AI (FOAI) through transparency and collaborative adoption, organizations can restore confidence in automated testing, improve software stability, and position AI as an enabler rather than a replacement for human insight. Read more →

AI’s Role in Reviving Shift‑Left Testing: Trust, Transparency, and the Future of Quality Assurance

AI’s Role in Reviving Shift‑Left Testing: Trust, Transparency, and the Future of Quality Assurance
BlinqIO has built an autonomous AI Test Engineer platform that can understand applications, generate and maintain test suites, and recover from failures without human intervention. While the technology works, enterprises express concerns about trust and control when adopting AI tools. The original Shift‑Left approach, intended to embed testing earlier in development, often led to the marginalization of dedicated QA roles and inadequate test coverage. By addressing fear of AI (FOAI) through transparency and collaborative adoption, organizations can restore confidence in automated testing, improve software stability, and position AI as an enabler rather than a replacement for human insight. Read more →

AI Drives Faster App Development While Amplifying Cyber Threats

AI Drives Faster App Development While Amplifying Cyber Threats
Artificial intelligence is reshaping how developers build applications, delivering speed and automation across the software lifecycle. At the same time, AI tools are empowering threat actors to reverse‑engineer code, generate sophisticated malware, and exploit mobile apps at unprecedented scale. The convergence of rapid app deployment and AI‑enabled attacks is expanding the attack surface, prompting security professionals to embed protections such as runtime application self‑protection (RASP) and continuous testing directly into development pipelines. Read more →