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25 articles tagged Agentic Coding.
TESOL demonstrates how shifting from manual coding to agentic loops increases PR volume by 850 per week while improving quality. This analysis details the strategic transition from skills to autonomous factories, emphasizing context-centric governance and verifiable standards for enterprise scalability.
Principal Engineer Lada Kessler shares advanced strategies for agentic coding, including the 'centrifuge' refinement loop, skill-based activation, and deterministic verification. Learn how to manage AI complexity, enforce honest output, and build trusted software factory building blocks.
The Datadog AI developer experience program shows how agentic coding scales from tool adoption to governed workflow. The company used evals, context hygiene, and team ownership to reduce risk in code review and model selection. The result is a practical framework for engineering leaders who need measurable, cost-aware AI development.
TESOL reports that 65 to 70 percent of pull requests now flow through an autonomous dark factory. The system uses Linear tickets, sandboxed coding agents, CI checks, and layered verification to ship code with minimal human review. The model shifts engineer work from writing code to defining scope, context, and quality guardrails. This creates a scalable operating model for AI native software teams.
Anthropic's Boris Cherny details the Opus 5 release, highlighting autonomous long-horizon tasks, prompt injection immunity, and the strategic shift toward empirical model elicitation. Learn how to leverage dynamic workflows and product overhang to build next-generation agentic products.
The discussion examines how reusable agent skills create a new software supply chain and why prompt injection is a critical enterprise risk. Snyk and Tessal are integrating automated skill scanning, versioning, and security scores into registries to support safe adoption. The analysis outlines governance controls for internal skills, credential management, and agent behavior guardrails. These practices help CISOs approve agentic coding rollouts without sacrificing developer productivity.
Anthropic's Claude Tag shifts agentic coding from single-player IDEs to multiplayer Slack environments. This analysis covers the 65% PR automation metric, the 'Dreaming' memory feature, and the strategic shift toward asynchronous, trust-based development workflows.
An executive analysis of the shift from interactive AI coding to autonomous loop engineering. Learn how to build composable software factories, optimize agent costs, and leverage verifiers to scale agentic workflows without sacrificing control.
Analysis of AI Native DevCon 2026 highlights, focusing on the strategic shift from vanity metrics to business outcomes. Covers harness engineering, agentic workflow bottlenecks, and the critical role of change management in scaling AI adoption across enterprise teams.
The sudden removal of Anthropic's Fable 5 model highlights the risks of centralized AI dependency. This analysis explores how enterprises are pivoting to open-source Chinese models, redefining engineering discipline, and leveraging domain expertise to maximize AI ROI.
Jellyfish data reveals a 2x increase in merged pull requests but highlights the 'agentic barrier' of human attention limits. Engineering leaders must shift from output metrics to business outcomes to satisfy CFO scrutiny in 2026.
Rod Johnson argues against the Python-centric AI narrative, advocating for Java-based enterprise AI integration. He details the Embabel framework's use of deterministic GOAP planning to ensure explainability and control in agentic workflows, challenging the 'vibe coding' approach.
Industry leaders from Stripe, OpenAI, and Google DeepMind discuss the obsolescence of traditional CI/CD in the age of AI agents. Key insights cover harness engineering, context optimization, and the strategic shift toward specialized open models for enterprise deployment.
An analysis of emerging trends in AI agent development, focusing on the shift from simple assistants to digital employees and specialized niche markets.
Explore how 'Semantic Anchors' and 'Semantic Contracts' can dramatically increase the precision and maintainability of AI-driven software architecture and coding.
An analysis of the latest advancements in AI coding agents, new model releases from Anthropic and OpenAI, and the critical bottlenecks in GPU compute and data center legislation. It highlights the shift from 'vibe coding' to professional agent orchestration and the emerging enterprise security risks associated with shadow AI.
A senior engineer shares practical strategies for mastering agentic coding workflows. Learn how to optimize context windows, implement automated rule checks, and leverage skills to boost software development velocity and quality.
An executive analysis of agentic software development, highlighting the critical role of engineering maturity, context management, and containerization. Learn why high-maturity teams outperform low-maturity ones and how to mitigate hallucination risks in enterprise AI adoption.
Felmo's CTO details the strategic shift from Cursor to Claude Code to manage API costs while maintaining high output. The analysis covers the reduction of human-in-the-loop processes, the rise of AI-generated code, and the evolution of developer roles in a tech-enabled veterinary startup.
An executive analysis of METR's time horizon metrics, the impact of Opus 4.5 on developer productivity, and the strategic implications of compute constraints on AI capability growth. This brief covers independent threat modeling, the shift to agentic coding, and the limitations of current benchmarking methodologies.
An executive analysis of how Felmo leverages GenAI to reduce headcount while maintaining output. The CTO details the shift from Cursor to Claude Code for cost efficiency, the elimination of manual QA loops, and the strategic focus on ROI-driven product development in a tech-enabled service model.
An executive analysis of AI-driven security measures, algorithmic bias in summarization, and the commercial impact of agentic coding. Covers Google's Play Store fortification, Anthropic's deployment data, and OpenAI's hardware strategy.
Dex Horthy analyzes the unit economics of autonomous coding loops, revealing a cost of approximately $10.42 per hour for software execution. The discussion highlights the shift from code generation to context engineering, emphasizing that planning and intermediate artifacts are now the primary drivers of engineering velocity and quality.
Warp CEO Zach Lloyd discusses the launch of Oz, a cloud-based orchestration platform for AI agents. The episode analyzes the infrastructure strain caused by agentic coding, the economic implications of 10x productivity, and the shift toward agent-native primitives.
InfluxDB CTO Paul Dix discusses the transition from manual coding to agentic workflows. The episode highlights the critical bottleneck of code verification, the rise of bespoke QA tooling, and the strategic shift toward agent ergonomics in software infrastructure.
