The Ultimate Guide to AI Coding
A curated American edition of TechDay news, analysis, interviews, reviews, job moves, and related resources for AI Coding.
What to know about AI Coding
AI Coding explores how artificial intelligence is transforming the way software is designed, written, tested, and maintained. From code-generation assistants and smart debuggers to tools that optimize performance and refactor legacy systems, this tag highlights practical uses of AI that change daily development work.
Stories under this tag dig into real-world workflows: how to pair with AI when writing code, what to automate and what to keep human-driven, and how to evaluate the quality, security, and reliability of AI-produced solutions. You’ll find reflections on productivity gains, new collaboration patterns between developers and models, and the skills that matter most in an AI-augmented coding environment.
Whether you’re curious about integrating AI into your toolchain, concerned about its impact on software jobs, or looking for concrete tips to get more value from coding assistants, the posts here provide grounded perspectives, examples, and experiments that can help you adapt and improve your own practice.
American AI Coding News
Regional stories with direct local relevance
Analyst Insights
Research and market analysis connected to AI Coding
Expert Columns
Recent AI Coding News
Featherless.ai & Z.ai launch GLM 5.2 access worldwide
Access to advanced coding tools is becoming a bigger concern as Featherless.ai hosts Z.ai's GLM 5.2, an open-source model aimed at software teams.
Forter launches five AI agents for commerce teams
Merchants could cut fraud, dispute and integration delays as Forter opens early access to tools that work inside ChatGPT and Claude.
OpenAI & Broadcom unveil Jalapeño AI inference chip
The chip could cut serving costs and speed up ChatGPT and API responses as OpenAI moves deeper into custom hardware.
NTT DATA partners Cursor to speed AI software modernisation
Legacy-system modernisation could accelerate as NTT DATA rolls out Cursor's AI coding tools internally before offering them to clients.
Explainer: How loop engineering is changing coding
By focusing on evidence and small reversible changes, loop engineering could curb costly AI coding mistakes before they reach production.
GitLab warns of AI code governance gap in new report
Most organisations now use multiple AI coding tools, but many still cannot reliably trace, review or govern the code once it reaches production.
Cast AI integrates MiniMax M3 into Kimchi Coding agent
Developers using Kimchi can now route tasks to MiniMax M3, cutting costs and keeping code inside controlled enterprise environments.
GitGuardian launches endpoint protection for laptops
A single compromised laptop can expose thousands of live keys, according to GitGuardian's early field tests, as attacks shift to developer machines.
Checkmarx launches hybrid AI engine for code scanning
False alerts and missed flaws are the target as the new engine aims to help security teams scan AI-written code more reliably.
Mini Shai-Hulud worm turns public, NCC Group warns
Public release of the Mini Shai-Hulud code means copycat attacks can now hit developers, CI/CD systems and open-source supply chains.
Cast AI adds MiniMax M3 to Kimchi Coding as default model
Businesses can now route coding jobs to a lower-cost open-weight model as Cast AI makes Kimchi Coding the first autonomous agent to offer MiniMax M3.
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AI tools widen gap in junior software engineers' skills
The survey suggests employers now fear junior coders can generate output with AI, yet still struggle to explain or debug their own code.
AI coding tools may raise enterprise software risk
Weaker oversight could turn AI-generated code into a costly drag, with security flaws and technical debt rising in enterprise projects.
AI coding tools raise debt & security risks, SIG warns
Enterprise teams using AI coding tools may face higher technical debt, security gaps and costs, according to new SIG research.
Atsign adds AI architecture tools for enterprise teams
Enterprise teams can now define AI agent permissions and security controls earlier, as Atsign's update links live architecture design with model prompting.
JFrog adds Claude Code plugin for security oversight
Audit trails for AI-generated code could get easier as the plugin exposes packages, dependencies and provenance inside Claude Code.
AI code praised in review, but faults rise in production
Yet live deployments are causing headaches for engineering teams, with most respondents reporting more incidents and heavier rework after AI code goes live.
Rubrik launches Agent Cloud for Claude code controls
Security teams gain rollback and policy controls as autonomous Claude agents begin writing and deploying code at machine speed.
Stack Overflow launches beta product for AI coding agents
Developers using AI assistants may get a verified knowledge base to cut repeated errors, security flaws and duplicated debugging work.