Link List

Nikunj Kothari argues AI has raised the pro­fes­sion­al per­for­mance ​“floor,” mak­ing 10x pro­duc­tiv­i­ty the new stan­dard. He con­trasts those embrac­ing AI with those resist­ing, pre­dict­ing a col­li­sion of real­i­ties.

Claude Code Review ana­lyzes GitHub pull requests for code issues like log­ic errors and secu­ri­ty vul­ner­a­bil­i­ties. It posts sever­i­ty-tagged inline com­ments, is non-block­ing, and cus­tomiz­able.

A 60-year-old pro­gram­mer finds renewed pas­sion with Claude Code. The dis­cus­sion debates if AI tools sim­pli­fy cod­ing or dimin­ish cre­ative joy.

AI and jobs

This post cov­ers depen­den­cy cooldowns in pack­age man­agers to block sup­ply chain attacks. It details rapid adop­tion across JavaScript, Python, and oth­ers, delay­ing new ver­sions to detect threats.

Why every role seems like an engi­neer­ing role now (and what it means for you)

The research-plan-imple­ment work­flow I use to build soft­ware with Claude Code, and why I nev­er let it write code until I’ve approved a writ­ten plan.

The AWS Builder Cen­ter pro­vides resources, best prac­tices, and archi­tec­ture guid­ance. It helps devel­op­ers build and opti­mize solu­tions on Ama­zon Web Ser­vices.

Ama­zon Bedrock Agent­Core is a man­aged plat­form for man­ag­ing AI agents at scale. It pro­vides tools, mem­o­ry, and secure data access for any framework/​model.

Learn about knowl­edge bases in Ama­zon Bedrock for Retrieval Aug­ment­ed Gen­er­a­tion (RAG) using your own data.

Explore Lasso’s prompt injec­tion tax­on­o­my, dis­tin­guish­ing text-based tech­niques from attack­er intent to stan­dard­ize AI secu­ri­ty defens­es.

Orga­ni­za­tions may stop review­ing LLM-gen­er­at­ed code due to its speed and vol­ume. Rig­or would shift to detailed spec­i­fi­ca­tions and tests, requir­ing an orga­ni­za­tion­al deci­sion.

Con­nects Craft CMS to AI assis­tants. It pro­vides AI tools to explore con­tent and schema, enabling faster, accu­rate devel­op­ment by under­stand­ing your unique con­tent mod­el.

AWS unveils Nova 2 Lite, a fast, cost-effec­tive rea­son­ing mod­el for Bedrock. It opti­mizes agen­tic-AI appli­ca­tions with diverse inputs and extend­ed think­ing.

Cloud­flare’s new fea­ture con­verts HTML to Mark­down for AI agents on demand. This reduces token usage and improves AI pro­cess­ing effi­cien­cy.

I stopped design­ing in Fig­ma and start­ed build­ing direct­ly in AI cod­ing uutools, shap­ing real prod­ucts in real time instead of hand­ing off mock­ups and wait­ing for inter­pre­ta­tion.

Ama­zon Nova Act Work­shop. Nova Act is an AWS ser­vice for devel­op­ers to build and man­age fleets of reli­able AI agents for automat­ing User Inter­face (UI) work­flows.

LLMs make cus­tom soft­ware and tools cheap, like 3D print­ing for jigs. Unlike 3D print­ing, LLM code has no qual­i­ty penal­ty, allow­ing for tai­lored solu­tions.

Microsoft is adopt­ing Anthrop­ic’s Claude Code inter­nal­ly for its engi­neer­ing teams, even non-devel­op­ers, despite sell­ing GitHub Copi­lot.

This arti­cle details a widen­ing gap between advanced and basic AI users. It argues M365 Copi­lot’s flaws and restric­tive enter­prise IT poli­cies hin­der effec­tive AI adop­tion, pos­ing an exis­ten­tial risk for busi­ness­es.

Nolan Law­son’s ​“We mourn our craft” explores AI’s impact on pro­gram­ming. He laments AI reduc­ing pro­gram­mers to review­ers, end­ing man­u­al cod­ing as a craft.

Tiny macOS menu bar app that keeps your Codex, Claude Code, Cur­sor, Gem­i­ni, Anti­grav­i­ty, Droid (Fac­to­ry), Copi­lot, and z.ai lim­its vis­i­ble.

AI lets cre­ators com­plete future projects now, lead­ing to a ​“cre­ative psy­chosis.” It argues arti­sanal cod­ing will be obso­lete by late 2026 as AI empow­ers peo­ple to ​“just do things.”

Learn to con­nect Claude Code to a local open-source LLM. This lets you con­tin­ue cod­ing when your Anthrop­ic quo­ta runs out.

AI cod­ing tools are spark­ing an indie soft­ware rev­o­lu­tion. Dou­bled ​“Show HN” posts show the pre­dict­ed ​“shov­el­ware” flood is here.

Anthrop­ic’s Son­net 5 AI is rumored to drop Super Bowl week. Ear­ly tests show strong math/​coding, tar­get­ing a fast, low­er-cost tier.

AI makes ​“just cod­ing” insuf­fi­cient for devel­op­ers. To stay valu­able, they need deep busi­ness domain knowl­edge and broad­er skills beyond pure cod­ing.

Dis­cov­er and install skills for AI agents. Install them with a sin­gle com­mand to enhance your agents with access to pro­ce­dur­al knowl­edge.

The Kiro Lar­avel Skele­ton is a pre-con­fig­ured set­up for Lar­avel projects. It quick­ly launch­es new apps, pro­vid­ing pol­ished Kiro specs for clean, orga­nized code.