📰 Dev.to · AI Tech Connect

A tokeniser tax of up to 8x on Indic scripts, and a structural pull towards American spelling in every frontier model. How to measure both and design around the

You already own the hard half of production AI. Pipelines, contracts, idempotency and cost control transfer directly. Here is the six-month plan for supplying t

You cannot read the field. You can run a system: tiered sources, three time-boxed scans a week, one deep dive, one build a month, and notes shipped in public so

A single-run accuracy number is the least useful thing you can know about an agent. Here is the harness that measures what actually breaks in production.

Your strongest work is private, and generic portfolio advice ignores that. Where the disclosure line really sits, and how to build a public record without breac

Staff is not a better senior engineer, it is a different job. The five levelling dimensions read for AI engineering, the artefacts that prove them, and a twelve

A definitive agreement with Bluerock values Yellow.ai at about $300M pre-money. The interesting part is not the SPAC — it is the plan to acquire the outsourcers

Primitives, standards and capital all landed in 2026. That is why 'who is your agent, and what may it do' is now a job description rather than a research questi

A $10.3B valuation for silicon that has given up the ability to run anything but a transformer. The bet, the trade-off, and why it moves your GPU bill.

Coverage records that a line ran, never that a wrong line would have failed. How mutation testing and property-based testing measure whether an agent's tests de

Securing deployed agents is a distinct track from alignment research. The role taxonomy, three honest on-ramps, five buildable artefacts, and India/UK pay bands

Your research is real but illegible to hiring managers. Here is how to translate it into engineering evidence, close the production gaps, and get found in India

Thinking Machines Lab's Inkling is a 975B-parameter MoE reasoning model under Apache 2.0 — and the lab says its 276B sibling keeps pace. The licence, not the si

OWASP's #1 LLM risk, and no single fix stops it. A defence-in-depth playbook for tool-using agents, with working Python for input scoping, tool allowlists and a

A Bengaluru team raised a reported $3M pre-seed to build foundation AI for industrial robot arms — India's entry into the global physical-AI race.

A2A reached v1.0 in 2026 under the Linux Foundation. A practical guide to Agent Cards, Tasks and JSON-RPC — plus the transport and auth choices you need to run

Safety engineering is one of the fastest-growing, hardest-to-hire roles in AI. The five sub-tracks, the skills that matter, the pipelines that work, and a 90-da

Instead of making dozens of direct tool calls, let the agent write code that imports MCP tools as modules. Intermediate data never round-trips through context —

Four protocols now settle money moved by autonomous AI agents. A developer's guide to x402, AP2, ACP and MPP — what each one does, how they compose, and how to

A practical 2026 guide to choosing an open-weight coding model you can run yourself — Qwen3-Coder, GLM-5.2, Kimi K2.6 and DeepSeek-V4 — with VRAM sizing, a vLLM

A SKILL.md file is a portable manifest that teaches an agent a repeatable procedure. Write it once with YAML frontmatter and Markdown, and run it across Claude

Alibaba's largest-ever model is live in preview on its coding platforms, with open weights promised. A builder's read on the announcement for teams in India and

A practical 2026 playbook for landing a Research Engineer role at a frontier AI lab — the rubric, the loop lab by lab, the two-tier pay, and India and UK routes

The three AI cert tracks still worth taking after 2026's AWS and Microsoft retirements — exam prices in USD, INR and GBP, India vs UK screening differences, and