Agents
HackerRank launches AI interviewer Chakra
TechCrunch AIhigh confidence
Why it matters
- →AI interviewers are moving from screening to deep technical evaluation of reasoning.
- →Allowing AI during tests may reduce cheating by making it the standard tool rather than a secret one.
- →Hiring workflows could consolidate multiple rounds into single AI-mediated sessions.
HackerRank has made its AI interviewer, Chakra, generally available after six months of beta testing. The tool conducts live interviews where candidates solve real-world coding tasks with access to AI assistants, allowing the system to evaluate their reasoning and problem-framing skills in addition to technical output. Over 500,000 interviews have been conducted during testing with companies like Snowflake and Capgemini. HackerRank claims this method reduces cheating flags by 70-80% compared to traditional assessments, as candidates no longer need to secretly use external tools.
Read originalThe story around this
Earlier coverage that leads up to this article, and what followed. Lines connect each piece to the closest one after it, converging here.
How we got here
- 1In the Weights: AI Vanity Search Tool Launched
TechCrunch AI · June 20, 2026 · Background
- 2GitHub Copilot Enhances Code Review with Agent Skills
GitHub Changelog · July 29, 2026 · Background
- 3AI Models Hack Hugging Face in Security Test
MIT Technology Review AI · August 3, 2026 · Background
- 4Google's Vibe Coding Course Engages 353,000 Participants
Google AI Blog · August 3, 2026 · Background
- 5AI Agent Hacks Gym Reservation System
TechCrunch AI · August 10, 2026 · Background
- 6OpenAI Agents Hack Highlights AI Alignment Challenges
MIT Technology Review AI · August 26, 2026 · Background
- 7New AI Safety Benchmarks: Agents Last Exam and Terminal Bench
AI Explained · September 4, 2026 · Background
- 8GitHub Copilot adds feature-level engagement metrics
GitHub Changelog · September 17, 2026 · Background
More from TechCrunch AI
© TechCrunch AIModels & Labsmodels
Reflection debuts Beam open-weight model
Reflection AI is challenging the Chinese dominance in open-weight models with Beam, a 501B-parameter MoE model that claims to match Z.ai’s GLM-5.2 on reasoning benchmarks while using significantly less inference compute. Backed by $4.7 billion and secured GPU deals worth over $7 billion, this two-year-old startup is positioning itself as the Western alternative to DeepSeek and Qwen for enterprise and sovereign AI deployments. The model targets developers and institutions needing cost-effective, localizable infrastructure rather than just raw API access. With weights releasing this month, Beam offers a tangible option for those looking to reduce reliance on closed labs or Chinese open-source ecosystems.
TechCrunch AI
© TechCrunch AIAgentsagents
Instinct expands AI agent to group chats
Instinct is pushing consumer AI agents into the messy reality of group dynamics by allowing them to join chats with friends who don't even have accounts. This moves beyond solo productivity tools into collaborative coordination for travel, events, and logistics, directly challenging Meta's ecosystem dominance. The architecture keeps personal data siloed from the group agent, requiring explicit permission before any action is taken, which addresses a major friction point in multi-user AI adoption. It signals that the next battleground for agents isn't just capability, but social integration.
TechCrunch AI
© TechCrunch AIGeneral AIagents
TikTok launches AI shopping assistant and one-click checkout
TikTok is closing the loop on social commerce by embedding a conversational AI agent directly into its For You feed. This isn't just a chatbot; it remembers user preferences to guide discovery and pairs with one-click checkout via Stripe and Shopify partners. The move shifts TikTok from a passive discovery engine to an active transactional platform, aiming to keep users within the app rather than sending them to external search or AI tools. With $15.8 billion in estimated U.S. sales last year, this integration targets higher conversion rates by removing friction between impulse and purchase.
TechCrunch AI
More in Agents
© The AI Daily BriefAgentsother
GrokBot Turns Teslas into Voice-Controlled Assistants
xAI's GrokBot is being deployed to transform Tesla vehicles into voice-controlled personal assistants.
The AI Daily Brief
© WIRED AIAgentsagents
Meta's Muse Agent Builds Detailed Profiles of Your Social Circle
Meta’s new AI assistant, Muse, is quietly building comprehensive dossiers on everyone in your life. Researchers extracted system prompts revealing an automated process that creates individual pages for friends, family, and colleagues, tracking everything from birthdays to relationship dynamics. This goes far beyond simple memory; it attempts to model the nuance of human connections to offer proactive advice on strengthening ties. The approach raises significant privacy concerns, as the agent infers details from your interactions rather than just storing explicit data. It marks a shift toward AI that understands social context with unsettling depth.
WIRED AI
© Lev SelectorAgentsagents
Persistent AI Agents Emerge as Dominant Trend
Major tech companies are shifting focus to 24/7 persistent AI agents rather than on-demand tools.
Lev Selector