SShortSingh.
TopTechnologyAI & MLStartupsProgrammingScienceBusinessFinanceCrypto & Web3World

Programming

LatestTopDiscussed
0
ProgrammingDEV Community ·

AgentForge Uses Typed Contracts to Make Multi-Agent AI Pipelines Reliable

The AgentForge team published a practical guide on August 11, 2026, addressing a common failure point in multi-agent AI systems: unstructured communication between agents. Most frameworks pass raw text outputs from one agent to another, which breaks down when outputs exceed token limits or omit critical context. AgentForge tackles this by requiring each agent to declare explicit input and output schemas, which an orchestrator validates before any execution begins. If an agent's output does not match the next agent's expected input format, the pipeline halts immediately with a clear error rather than allowing silent failures. The open-source framework, available on GitHub, aims to deliver deterministic and debuggable agent behavior suited for production environments.

0 comments Read more at DEV Community
0
ProgrammingDEV Community ·

AI Tools Now Used by Majority of US Psychologists, Ethics and Consent Rules Lag Behind

A March 2026 APA Practitioner Pulse Survey of 1,742 psychologists found that 56% used an AI tool in clinical work over the past year, up sharply from 2024 when 71% reported never using one. AI applications in therapy range from ambient session transcription and SOAP note generation to real-time coaching prompts and suicide-risk screening dashboards. Despite rapid adoption, the APA found no professional consensus on key issues such as patient disclosure requirements or data-sharing obligations with third-party vendors. Ethicists and clinicians warn that patients are often unaware their sessions may be processed by AI systems operated in different states or countries. The most common entry point driving adoption is administrative burden relief, as therapists seeing 25 clients weekly can spend over 12 hours on documentation alone.

0 comments Read more at DEV Community
0
ProgrammingDEV Community ·

DeepSeek Previews V4 Models, Plans Price Hike, and Pauses Fundraising Round

DeepSeek has released a preview of its V4 model family, including DeepSeek-V4-Pro, a mixture-of-experts model with approximately 1.6 trillion total parameters, and a lighter variant called DeepSeek-V4-Flash. Both models support a one-million-token context window and include agent integrations compatible with the Model Context Protocol, allowing developers to connect the models to external tools and data sources. Shortly after releasing an updated Flash variant, DeepSeek announced plans to significantly raise its API prices, citing rapid growth in demand, though exact new rates have not yet been disclosed. The company's low pricing had been a key competitive advantage since its earlier V3 and R1 model releases. Separately, Bloomberg reported that DeepSeek suspended its second major fundraising round, reportedly due to comments made by founder Liang Wenfeng in private investor meetings that subsequently leaked.

0 comments Read more at DEV Community
0
ProgrammingDEV Community ·

Developer rebuilds Chrome extension after 90% of 101 users stopped engaging

A solo developer launched Goat Alert, a Chrome extension that plays a goat sound if users ignore a random notification for 60 seconds, but found only about 10 users remained active after 101 installs. Most users neither uninstalled the extension nor gave feedback — they simply stopped using it, pointing to a retention problem rather than an acquisition one. The developer attributes the drop-off to the extension's repetitive, novelty-driven design, which loses its appeal after a few uses. Planned fixes include a snooze button, rotating notification messages, a streak counter with usage stats, and an optional softer alert sound. The developer acknowledges these changes are based on observed drop-off patterns and plans to monitor retention metrics after shipping the update.

0 comments Read more at DEV Community
0
ProgrammingHacker News ·

Developer Intercepts GitHub Copilot Traffic via MitM Proxy to Expose Inner Workings

A developer conducted an experiment by routing GitHub Copilot's network traffic through a Man-in-the-Middle (MitM) proxy to inspect how the AI coding tool communicates behind the scenes. The investigation revealed details about the requests and data Copilot sends and receives during normal operation. The findings were shared via the Lighthouse Newsletter, sparking discussion in the developer community on Hacker News. Such research helps shed light on the transparency and data practices of AI-powered development tools.

0 comments Read more at Hacker News
0
ProgrammingDEV Community ·

Six Enterprise SCA Tools Compared: What Developer Teams Should Know in 2026

Software Composition Analysis (SCA) tools scan application dependency trees for known vulnerabilities, license issues, and security risks — a growing concern as modern apps draw 70–90% of their code from open-source packages. A 2026 developer comparison evaluated six leading enterprise SCA platforms: Aikido Security, Snyk Open Source, Mend.io, Black Duck, Sonatype Lifecycle, and GitHub Advanced Security. Aikido Security was highlighted as a strong all-round option, offering reachability analysis, malware detection, SBOM generation, and automated fix pull requests under a single per-seat subscription. Snyk and GitHub Advanced Security suit teams already embedded in their respective ecosystems, while Black Duck and Sonatype Lifecycle cater to regulated industries and large enterprises needing policy-driven governance. A key differentiator across tools is reachability analysis — the ability to determine whether a vulnerable dependency is actually exploitable in context — which significantly reduces false-positive alert fatigue.

0 comments Read more at DEV Community
0
ProgrammingDEV Community ·

Engineer builds AI medical training simulator by strictly separating language from clinical facts

A backend engineer and his doctor co-founder built Rounds, an AI-powered patient simulator designed to help medical students practice clinical reasoning beyond what standard exams offer. Early prototypes revealed a critical flaw: the language model would alter symptom histories, invent lab values, and give away diagnoses when prompted cleverly. To fix this, the team separated clinical truth — stored in a fixed case state linked to a medical knowledge graph — from the language model, which only controls how the patient communicates, not what the facts are. Investigations and examination findings are retrieved from authored case data and cached per session, so repeated queries always return the same result. Grading works similarly, using an evidence log of student actions checked against deterministic rules before any AI-interpreted credit is awarded.

0 comments Read more at DEV Community
0
ProgrammingDEV Community ·

DynamoDB Indexing and Design Patterns: GSI, LSI, and Key Concepts Explained

DynamoDB offers two types of secondary indexes — Global Secondary Index (GSI) and Local Secondary Index (LSI) — each suited to different query patterns, with GSIs allowing a different partition key and LSIs restricted to the same partition key as the base table. Sparse indexes improve efficiency by only indexing items that contain a specific attribute, reducing unnecessary storage and read costs. Features like TTL, PITR, and optimistic locking help manage data lifecycle, recovery from accidental deletions, and safe concurrent updates respectively. Hot partitions, caused by uneven traffic on a single partition key, can be mitigated through thoughtful key design and DynamoDB's built-in adaptive capacity feature. The core design principle is to model data around how it will be accessed rather than how it is structured, making access-pattern-first thinking essential for effective DynamoDB table design.

0 comments Read more at DEV Community
0
ProgrammingDEV Community ·

7 Practical Tips to Make AI-Generated Code More Reliable and Ship-Ready

A developer has distilled months of experience building with AI coding tools into seven actionable tips for improving the predictability of AI-generated code. The advice stems from a talk titled 'It's Dangerous to Code Alone! Take This: Developer's AI Survival Guide,' which prompted repeated requests for a written version. An MIT study of over 100,000 developers found that while AI agents increased code written by roughly 180%, code that actually reached production grew by only about 30%, highlighting a significant reliability gap. To illustrate the tips, the author built a link-sharing platform using tools like Codex GPT and Figma MCP, with an AWS Blocks backend replacing local mocks. Key recommendations include writing clear, unambiguous prompts, providing input-output examples, and instructing the model to reason step by step before generating code.

0 comments Read more at DEV Community
0
ProgrammingDEV Community ·

Hyperiux Builds Vault as a Source-First React Interaction Library for Real Projects

Hyperiux is developing Vault, an interaction library for React and Next.js that prioritizes giving developers direct access to source code rather than hiding logic behind abstractions. The team identified a common gap between discovering an appealing web interaction and successfully integrating it into a production environment with real constraints like responsive design, accessibility, and performance. Vault is designed as a starting point, allowing developers to inspect, modify, or strip down implementations to fit their own systems rather than conforming to library defaults. The project also takes a deliberate stance against motion for its own sake, emphasizing that animations should serve a clear purpose within a design. The library aims to make the interaction layer easier to explore only when motion has genuinely earned a place in the product.

0 comments Read more at DEV Community
0
ProgrammingDEV Community ·

Road511 Aggregates Planned Construction Data From 9 States Into Queryable Feed

Most traffic APIs only report current road conditions, leaving planners who need future construction data to manually search state DOT websites and compile PDF schedules into spreadsheets. Road511 has addressed this gap by normalizing planned-construction records from nine U.S. states and Canadian provinces into a single queryable feature type called future_construction. As of now, the dataset includes 2,161 projects, with Virginia contributing the most records at 927, followed by Delaware with 774 and New Jersey with 247. Unlike real-time work zone feeds, these records are drawn from agency project pipelines and carry projected start and end dates, though those dates are estimates and subject to change. The platform acknowledges current limitations, including some feeds returning no data and coverage spanning only nine jurisdictions, but aims to make corridor-level future planning a database query rather than a manual research task.

0 comments Read more at DEV Community
0
ProgrammingDEV Community ·

EU Digital Services Act Mandates Plain-Language Terms Summaries From Major Platforms

The European Union's Digital Services Act (DSA) requires the largest online platforms and search engines to publish concise, machine-readable summaries of their terms and conditions. This obligation, set out in Article 14 of Regulation (EU) 2022/2065, applies specifically to designated very large online platforms and search engines, going beyond the baseline clarity requirements imposed on all intermediary services. Summaries must be written in clear, unambiguous language and made available in the official languages of every EU member state where the service operates. They must also cover key elements of the terms, including remedies and redress options available to users. The DSA began applying to designated platforms in 2023 and expanded more broadly in early 2024, making terms transparency an ongoing compliance responsibility rather than a one-time update.

0 comments Read more at DEV Community
0
ProgrammingDEV Community ·

Zoology Graduate Learns Coding Driven by Fear of Irrelevance and Ambition

A postgraduate with a BSc in Life Science and an MSc in Zoology has begun teaching herself to code despite having no prior programming background. She cites three motivations: a fear of being left behind as technology reshapes the world, an ambition to build a career in the tech field, and a genuine curiosity about coding. She is currently learning through Kaggle and has started recognising small syntax errors in her own work, marking early progress. She is documenting her journey on DEV Community, framing her blog not as a tutorial but as an honest account from a beginner still navigating confusion.

0 comments Read more at DEV Community
0
ProgrammingDEV Community ·

Spring AI Test Tool Records LLM Responses for Fast, Free, Offline Replay

A developer has released an open-source library called spring-ai-test-tools that solves a key challenge in testing Spring AI applications: non-deterministic, slow, and costly calls to live language models. The tool works like the VCR pattern familiar from Ruby and Python testing — it records a real LLM interaction on the first test run and saves it as a local JSON cassette file. All subsequent test runs replay the cached response in under a millisecond, with no network access, no API tokens consumed, and no dependency on a GPU or provider credentials. The cache key is a SHA-256 hash of the exact request, ensuring fully deterministic replays, and a REPLAY_ONLY mode can be set in CI pipelines to fail loudly if any uncached live call is attempted. The library integrates transparently via Spring AI's ChatClientBuilderCustomizer, requiring no changes to existing test code.

0 comments Read more at DEV Community
0
ProgrammingDEV Community ·

Developer builds explainable AI system to optimize wildfire evacuation decisions

A developer exploring crisis AI created an Explainable Causal Reinforcement Learning (XC-RL) framework designed to improve decision-making in wildfire evacuation logistics. The project was inspired by a personal experiment in which a trained RL agent repeatedly routed virtual evacuees toward a fire due to a flawed reward function. Unlike standard tools such as SHAP or LIME, which identify influential inputs but not causal relationships, the new system uses a Structural Causal Model to encode true cause-and-effect dynamics like fire spread and road closures. The architecture combines a causal world model, a PPO-based policy network, and an inverse simulation verifier that runs counterfactual scenarios to confirm whether the AI's stated reasons for actions match its actual behavior. The framework aims to address the opacity of traditional reinforcement learning in safety-critical situations where understanding why a decision was made is as important as the decision itself.

0 comments Read more at DEV Community
0
ProgrammingDEV Community ·

Developer Submits Frontend Mentor Challenge Three Years After Starting It on a Tablet

A frontend developer has shared how they finally submitted a Frontend Mentor challenge in 2026 that they had originally started in 2023, building the first version on their father's tablet due to lacking a laptop. The project was left unfinished as the developer moved on to learn JavaScript and backend development over the following years. The opportunity to revisit it came during their SIWES industrial training, when an assignment related to Frontend Mentor prompted them to dig up the old project. Returning to the years-old code offered a clear view of how much their skills had grown, with decisions and mistakes from 2023 now easily recognizable. The developer is encouraging others to occasionally revisit old, unfinished projects as a way to measure personal and technical growth.

0 comments Read more at DEV Community
0
ProgrammingDEV Community ·

Developers Use TLA+ Formal Verification to Enforce AI Agent Governance Rules

A software team building multi-agent AI systems on platforms like CrewAI, AutoGen, and LangGraph has published a formally verified governance framework called MAREF, available under the Apache-2.0 license. The core challenge they addressed was preventing AI agents from crossing defined safety boundaries when acting autonomously. They modeled the governance logic as a Gray Code finite state machine, where any transition skipping more than one bit is automatically flagged as a bug by the model checker. The TLA+ model checker (TLC) verifies five key invariants — including halt absorption, red-line immutability, and safety gate integrity — on every code push via a CI workflow. The team notes that formal verification is applied only to the small governance core, while the larger orchestration layer relies on conventional unit and integration tests to keep the verified state space manageable.

0 comments Read more at DEV Community
← NewerPage 222 of 1343Older →