Harness, a San Francisco-based software delivery company, launched an AI Agent suite on August 19, 2026, to find and fix software vulnerabilities in hours, addressing the gap between discovery and rem…
GitLab has rolled out an LLM-powered retrospective agent across its teams that generates pre-read sprint reports from DORA and Jira metrics, sparking discussions that weren't happening before. The age…
GitClear's analysis of 623 million code changes from 2023 through 2026 shows AI-era tech debt is measurable: refactoring dropped from 21% of changed lines in 2022 to 3.8%, while copy/pasted code rose …
HackerRank engineer and mentor defines the 'AI first engineer' as someone who delegates execution by default while owning intent and verification, contrasting it with AI engineers and prompt engineers…
A 25% increase in AI adoption is associated with a 1.5% decrease in delivery throughput and a 7.2% decrease in delivery stability, according to the 2025 DORA State of AI-assisted Software Development …
Deloitte Italy warns that most organizations lack documented incident response plans for AI-specific attacks such as prompt injection, data poisoning, and rogue agents, even as 74% of organizations ex…
Agentic AI security in finance is critically lacking file inspection, with most agents processing documents without verifying safety, according to a report by MetaDefender. The report highlights that …
Veracode's July 2026 GenAI Code Security Report, which tested more than 150 large language models, found that only 55% of AI-generated code passes basic security tests, a figure unchanged since 2023, …
A vendor-agnostic framework from DORA and other sources shows that AI coding tools should be judged by delivery outcomes such as change failure rate and time to restore service, not by vendor benchmar…
Joseph Heck's essay 'Software engineering fundamentals matter more than ever' argues that classic engineering disciplines have become the operating controls for AI coding agents, a claim backed by DOR…
Anthropic, METR, DORA, and Thoughtworks data indicate that software implementation is becoming cheaper while specification, verification, and ownership remain costly, according to a response to Senko …
A new economic model explains why user research keeps losing to AI-native teams, according to a series by an unnamed author on LinkedIn. The model shows that AI agents collapse the time between mockup…
Financial AI agents must meet six database capabilities—append-only audit storage, per-agent identity attribution, strong read consistency, storage-layer idempotency, rollback support, and enforced da…
Google's 2025 DORA research found that 90 percent of organizations now use an internal platform, and 76 percent have dedicated platform teams, but these platforms were built for a different era and ar…
Google's 2025 DORA research found that 90 percent of organizations now use an internal platform and 76 percent have dedicated platform teams, but these platforms are ill-equipped for AI-driven demands…
McKinsey's State of AI trust in 2026 report finds that only about 30% of organizations have reached higher levels of maturity across AI strategy, governance, and agentic AI controls, as financial serv…
Neciu Dan, a technical co-founder and Staff Software Engineer, outlines a deployment pipeline for frontend CI/CD in the age of AI, emphasizing canary deployments and rapid rollbacks to counter the inc…
Perforce Software's 2026 Platform Engineering Report, based on a survey of 820 technology professionals, found that 73% of organizations with mature platform engineering practices said platform maturi…
Vibsync engineers report that while AI coding agents reliably boost individual developer speed, team throughput often stagnates due to coordination costs such as duplicated discovery, decision drift, …
A developer argues that green CI is no longer sufficient for release decisions, as AI-generated code volume outpaces human review, leading to higher change failure rates. The post proposes a signal li…